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Artículos de revistas sobre el tema "Logging"

Autor: Grafiati

Publicado: 4 de junio de 2021

Última modificación: 9 de junio de 2025

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1

Zhiyou, Liu, Huo Jinghuan, and Zhu Xiaogang. "The application of digital logging in exploration of Jiang Cang coalfield in Qinghai province." International Journal of Geology 1, no. 1 (July 21, 2016): 44. http://dx.doi.org/10.26789/ijg.2016.006.

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A lot of well logging on to Jiang Cang coalfield in the past work and achieved good results, but due to differ in age, instrumentation equipment and method were different. In order to understand the application effect of the equipment used in the area now and in order to provide the basis for the future working to choose the appropriate logging parameters and well logging interpretation, we chosed GJS - 1 b intelligent engineering logging system produced by Chongqing geological instrument factory in Jiang Cang mining area, we collected the data when cable were ascending, according to ã€Šthe requirements of the rules of coalfield geophysical loggingã€‹, JGS - 1 b instrument full hole resistivity logging velocity of 3 m/s, the sampling interval was 5 cm, acoustic logging measurement parameter for the acoustic time, adopt the device of single-emission and double-receiving, detectorsource space was 0.5 meters, 0.7 meters, the full hole velocity was 6 m/s, the sampling interval was 10 cm.In this paper, we introduce the application of multiple well logging method in coalfield geology through to the logging examples in Mu Li Jang Cang coalfield four fieldÂ of qinghai province, the effect was remarkable

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2

Price, Blaine A., Avelie Stuart, Gul Calikli, Ciaran Mccormick, Vikram Mehta, Luke Hutton, Arosha K. Bandara, Mark Levine, and Bashar Nuseibeh. "Logging you, Logging me." Proceedings of the ACM on Interactive, Mobile, Wearable and Ubiquitous Technologies 1, no. 2 (June 30, 2017): 1–18. http://dx.doi.org/10.1145/3090087.

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3

Studwell, William E. "Logging on and Cata-Logging." Behavioral & Social Sciences Librarian 16, no. 1 (September 22, 1997): 69–71. http://dx.doi.org/10.1300/j103v16n01_06.

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4

de Silva, Amal P., and W. Keith Patterson. "Influence of Root Flooding Interval on Phytophthora Root Rot of Blueberry." HortScience 32, no. 3 (June 1997): 468D—468. http://dx.doi.org/10.21273/hortsci.32.3.468d.

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Phytophthora root rot is a severe disease on blueberry (Vaccinium corymbosum L.) in poorly drained soils. The objective of the study was to determine the frequency of water-logged conditions on disease severity of blueberry. Phytophthora cinnamomi was grown on rice hulls and incorporated into the soil at the rate of 10% v/v. Water logging conditions were inflicted for 48 hr on mulched and non–mulched blueberry plants at 1-, 2-, and 4-week intervals. Non-water logging conditions were used on both mulched and non-mulched control plants. There was a significant linear relationship between disease severity of shoots and roots and the frequency of water-logging conditions. Disease symptoms were low in control plants, but disease ratings were high in mulched and non-mulched plants that were treated with water-logging conditions every week. There was also a linear trend between shoot dry weight and root dry weight of plants with frequency of water logging. Higher dry weights were seen on control plants. There was a significantly higher shoot, root dry weight and number of leaves of mulched plants than non-mulched plants. The percentage of infection on roots were high with frequent water logging. The study revealed high disease incidence with frequent water loggings. However, growth of mulched blueberry plants were comparable in control plants and plants that were subjected to water logging at 4-week intervals.

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5

Lin, Jiunn-Cheng, Jun-Yen Lee, and Wan-Yu Liu. "Risk Analysis of Regions with Suspicious Illegal Logging and Their Trade Flows." Sustainability 13, no. 6 (March 23, 2021): 3549. http://dx.doi.org/10.3390/su13063549.

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To eradicate illegally harvested wood sources in its domestic market, it is critical to conduct risk assessments on wood sourcing in regions with illegal loggings. It is not reliable to use a single indicator to analyze suspicious illegal logging. This study integrates three key global indicators: CPI (Corruption Perceptions Index), HDI (Human Development Indicator), and WGI (The Worldwide Governance Indicators) by applying the entropy weight method to establish a new risk indicator to rank suspicious illegal logging regions. This study aims to establish better risk indicators by considering more factors to assess the risks of illegal logging and its trade flow more reliably. By analyzing roundwood production, Myanmar, Congo, and Nigeria are rated high-risk. Countries such as the U.S., Germany, Canada, and Finland are rated low-risk.

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6

Nurhadiyanto, Lucky. "ALUR PELACAKAN PEMBALAKAN LIAR (ILLEGAL LOGGING) MELALUI PENDEKATAN PENCUCIAN UANG." SISI LAIN REALITA 1, no. 2 (December 11, 2016): 33–46. http://dx.doi.org/10.25299/sisilainrealita.2016.vol1(2).1385.

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Illegal logging is a part of crime against environment, which has a massive impact on the economy, social, cultural, and ecological. Ironically, majority of the illegal logging’s perpetrators are dominated by “the field criminal”. On the other side, intellectual actors who can control the activities never touch by the law. The money laundering concept can give a new approach to detect the leader actor. The author use follow the money viewpoint, which includes placement, layering, and integration. Qualitative data collection methods is used with in-depth interviews, systematic observation of the behavior, and document analysis. The result is a new paradigm in investigating illegal logging no longer focused on the field actors, but potentially tracking the intellectual actors behind illegal logging.

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7

Solt, John. "Treacherous Logging." Voice of Intellectual Man- An International Journal 9, no. 2 (2019): 151. http://dx.doi.org/10.5958/2319-4308.2019.00025.2.

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8

Mueller, H. Gustav. "Data logging." Hearing Journal 60, no. 10 (October 2007): 19. http://dx.doi.org/10.1097/01.hj.0000295442.16133.d7.

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9

Brown, Alastair. "Selective logging." Nature Climate Change 2, no. 1 (December 20, 2011): 23. http://dx.doi.org/10.1038/nclimate1361.

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10

Jones, S., SM Gatford, T. Do, and S. Walker. "Transaction logging." Journal of Documentation 53, no. 1 (March 1997): 35–50. http://dx.doi.org/10.1108/eum0000000007189.

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11

Fehlmann, Gaëlle, and Andrew J. King. "Bio-logging." Current Biology 26, no. 18 (September 2016): R830—R831. http://dx.doi.org/10.1016/j.cub.2016.05.033.

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12

Worthington, Paul F. "Induction logging." Marine and Petroleum Geology 8, no. 1 (February 1991): 118–19. http://dx.doi.org/10.1016/0264-8172(91)90056-7.

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13

Williams, Nigel. "Logging off." Current Biology 19, no. 17 (September 2009): R719—R720. http://dx.doi.org/10.1016/j.cub.2009.08.037.

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14

Lee, Gayoung. "Mesozoic Logging." Scientific American 332, no. 6 (June 2025): 15. https://doi.org/10.1038/scientificamerican062025-7g65knavq8w2yrk2ai0nkw.

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15

ZHAO, Dan, Ping MIN, Longquan YANG, Shili LU та Cangwen JIAO. "N451 γ Spectrometry Logging Probe and Logging Techniques". Acta Geologica Sinica - English Edition 88, s2 (грудень 2014): 1434–35. http://dx.doi.org/10.1111/1755-6724.12381_46.

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16

KAPITANETS, Stepan, and Galina RADELCHUK. "PECULIARITIES OF DATA LOGGING AND INFLUENCE OF APPLICATION TYPE ON THE CHOICE OF LOGGING METHODOLOGY." Herald of Khmelnytskyi National University. Technical sciences 315, no. 6(1) (December 29, 2022): 98–101. http://dx.doi.org/10.31891/2307-5732-2022-315-6-98-101.

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Software is not perfect and may contain bugs that cannot be detected by tests, or that will manifest themselves only over time. Sometimes problems can occur even in the code of third-party libraries or services that are used in the software system. To improve the reliability of software systems and timely detection of problems, data logging is used. Logging is a very important aspect of software development. By studying application logs, software developers can detect anomalies and errors in software systems, find the cause and provide an update or patch with fixes. Nevertheless, despite the importance of data logging practice, in most cases this process is chaotic. Developers write logging code solely based on their own considerations or neglect it altogether. This study points to the need to improve the state of research on data logging practices. For example, more efforts should be made to define what exactly to log, to generate logging data in a clear way and from the developer’s point of view with enough information to recreate the events even without having to run the application. This article describes ways in which this can be achieved. This research aims to establish a comprehensive understanding of the state of the art in data logging research with an emphasis on identifying possible problems and gaps that will further shed light on potential future research directions. This paper describes a study that focused on logging strategies used on real projects of different types. It investigated logging methods for desktop and web applications, and proposed improvements to the logging methodology that make it more flexible and convenient for software development teams regardless of the types of applications being developed.

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17

Saad, Siti Nor Maizah, Wan Shafrina Wan Mohd Jaafar, Hamdan Omar, Khairul Nizam Abdul Maulud, Aisyah Marliza Muhmad Kamarulzaman, Esmaeel Adrah, Norzalyta Mohd Ghazali, and Midhun Mohan. "Modeling Carbon Emissions of Post-Selective Logging in the Production Forests of Ulu Jelai, Pahang, Malaysia." Remote Sensing 15, no. 4 (February 12, 2023): 1016. http://dx.doi.org/10.3390/rs15041016.

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Harvested timber and constructed infrastructure over the logging area leave massive damage that contributes to the emission of anthropogenic gases into the atmosphere. Carbon emissions from tropical deforestation and forest degradation are the second largest source of anthropogenic emissions of greenhouse gases. Even though the emissions vary from region to region, a significant amount of carbon emissions comes mostly from timber harvesting, which is tightly linked to the selective logging intensity. This study intended to utilize a remote sensing approach to quantify carbon emissions from selective logging activities in Ulu Jelai Forest Reserve, Pahang, Malaysia. To quantify the emissions, the relevant variables from the logging’s impact were identified as a predictor in the model development and were listed as stump height, stump diameter, cross-sectional area, timber volume, logging gaps, road, skid trails, and incidental damage resulting from the logging process. The predictive performance of linear regression and machine learning models, namely support vector machine (SVM), random forest, and K-nearest neighbor, were examined to assess the carbon emission from this degraded forest. To test the different methods, a combination of ground inventory plots, unmanned aerial vehicles (UAV), and satellite imagery were analyzed, and the performance in terms of root mean square error (RMSE), bias, and coefficient of correlation (R2) were calculated. Among the four models tested, the machine learning model SVM provided the best accuracy with an RMSE of 21.10% and a bias of 0.23% with an adjusted R2 of 0.80. Meanwhile, the linear model performed second with an RMSE of 22.14%, a bias of 0.72%, and an adjusted R2 of 0.75. This study demonstrates the efficacy of remotely sensed data to facilitate the conventional methods of quantifying carbon emissions from selective logging and promoting advanced assessments that are more effective, especially in massive logging areas and various forest conditions. Findings from this research will be useful in assisting the relevant authorities in optimizing logging practices to sustain forest carbon sequestration for climate change mitigation.

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18

Seidov, Vagif M., and Maleyka A. Aghayeva. "Algorithm for constructing unmeasured logging curves (pseudo-logging) in wells of developed fields." Journal of Geology, Geography and Geoecology 33, no. 3 (September 22, 2024): 562–70. http://dx.doi.org/10.15421/112452.

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In many cases, the diagrams of some logs in an old well of producing fields are not recorded for some reason or another. Currently, the importance of reassessing the efficiency of such fields is obvious, while the absence of some log curves causes great difficulties. In particular very few studies with acoustic logging (AL) have been carried out in old wells. On the other hand, in 1960-80, among the studies carried out in wells, preference was given to various types of electrical logging (EL), neutron-gamma logging (NGL), and gamma ray logging (GRL). To overcome such difficulties, it is necessary to create diagrams of unmeasured well logs or pseudo-logs. Nowadays, there are methods for constructing pseudolog curves. For example, the method of statistical analysis is widely used. However, in most cases, their implementation is very complex and requires a lot of work. We have developed a new method to construct pseudo-log curves. At first, the propagation velocity of elastic waves in rocks is studied based on seismic survey (SS) and AL data, which are performed presently on the investigation field. Based on this information, objects of interest to the oil industry are selected, their geometric dimensions are determined, the contour of oil and gas saturation is assessed, areas with abnormally high reservoir pressure are studied, the process of accumulation deposition is re-examined, and the preparation of an optimal well network diagram for the effective exploitation of the field is determined. Further, based on the long-ago measured curves of electrical loggings and neutron-gamma logging, we obtain the pseudo-log AL curve in old boreholes and the data SS. The proposed method was tested in 48 wells in the Bahar field (Azerbaijan). The method has shown high efficiency, its reliability is confirmed by independent data. The results of the method help in solving several geological problems: monitoring changes in petrophysical quantities of rocks between wells during development; study of well formations located below the design depth; recalculation of hydrocarbon reserves; determination of the location for drilling new wells, etc

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19

Yu, Hua Ping, and Huan Wu. "Discussion on Preprocessing Technique of Geophysical Logging Data." Applied Mechanics and Materials 496-500 (January 2014): 2178–81. http://dx.doi.org/10.4028/www.scientific.net/amm.496-500.2178.

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Logging data preprocessing is the basis of reservoir description and reservoir evaluation with logging data, which is a technique that can reduce the influence generated by the nongeological factors (such as the logging environment, logging instrument precision and calibration, the artificial operation etc.) as much as possible by some mathematic methods. This paper analyzes the regular methods of logging data preprocessing such as well logging curve environment correction technique, logging curve normalization technique and logging curve interpolation technique, and presents standard procedure of logging data pretreatment and application results. The result shows that logging preprocessing will get better result.

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20

Gu, Caiyun, Peng Zhao, Li Wang, and Hongxia Guo. "Technical Application of Petroleum Logging Instruments in Marine Logging." Polish Maritime Research 25, s3 (December 1, 2018): 22–28. http://dx.doi.org/10.2478/pomr-2018-0108.

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Abstract To solve the problem of offshore oilfield development, based on the newly introduced pulsed neutron oxygen activation logging instrument, the application research of test design and interpretation method was carried out and applied to actual production. The structure, technical indicators and logging principles of pulsed neutron oxygen activation logging tools were introduced. The test design under different well conditions was studied, including general positive and negative injection, oil sleeve injection, single oil pipe configuration and multitubing configuration. A large amount of field test data was collected and analysed technically. A set of effective interpretation models was proposed. The corresponding interpretation software was developed. A set of test design methods and operating specifications for different well conditions were developed. Based on the conventional interpretation method, the peak selection, the double-tuber peak identification and the carbon dioxide flooding interpretation method were added. The results show that the test design and interpretation methods were applied well through a large number of field tests and production applications. Therefore, pulsed neutron oxygen activated injection profile logging technology is successfully applied in offshore oil fields.

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21

Burivalova, Zuzana, Tien Ming Lee, Xingli Giam, Çağan Hakkı Şekercioğlu, David S. Wilcove, and Lian Pin Koh. "Avian responses to selective logging shaped by species traits and logging practices." Proceedings of the Royal Society B: Biological Sciences 282, no. 1808 (June 7, 2015): 20150164. http://dx.doi.org/10.1098/rspb.2015.0164.

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Selective logging is one of the most common forms of forest use in the tropics. Although the effects of selective logging on biodiversity have been widely studied, there is little agreement on the relationship between life-history traits and tolerance to logging. In this study, we assessed how species traits and logging practices combine to determine species responses to selective logging, based on over 4000 observations of the responses of nearly 1000 bird species to selective logging across the tropics. Our analysis shows that species traits, such as feeding group and body mass, and logging practices, such as time since logging and logging intensity, interact to influence a species' response to logging. Frugivores and insectivores were most adversely affected by logging and declined further with increasing logging intensity. Nectarivores and granivores responded positively to selective logging for the first two decades, after which their abundances decrease below pre-logging levels. Larger species of omnivores and granivores responded more positively to selective logging than smaller species from either feeding group, whereas this effect of body size was reversed for carnivores, herbivores, frugivores and insectivores. Most importantly, species most negatively impacted by selective logging had not recovered approximately 40 years after logging cessation. We conclude that selective timber harvest has the potential to cause large and long-lasting changes in avian biodiversity. However, our results suggest that the impacts can be mitigated to a certain extent through specific forest management strategies such as lengthening the rotation cycle and implementing reduced impact logging.

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22

Phaltane, Saurabh, Anand Nahar, and Nikhil Garge. "Scalable Logging Solutions on Cloud." SIJ Transactions on Computer Science Engineering & its Applications (CSEA) 02, no. 06 (December 11, 2014): 07–11. http://dx.doi.org/10.9756/sijcsea/v2i6/0207710301.

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23

Dragoi, M. "Tradable permits in logging operations." Journal of Forest Science 48, No. 1 (May 17, 2019): 38–48. http://dx.doi.org/10.17221/11855-jfs.

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The paper presents a new system of tradable permits combined with ecological bonds that is able to promote environment-friendly logging technologies, supposed to be less harmful to the forest ecosystem. All loggers deposit in advance ecological bonds on to-be-harvested volume basis and a certain number of permits to damage is freely given per each cubic meter, by the public authority. After surveying the damage caused throughout all harvested tracts, the number of permits on the volume basis is recomputed for each logger according to the magnitude and importance of damage caused. The logging company that caused smallest damage and saved most permits is allowed to sell to another competitor the number of permits which makes the difference between the two companies. The main section of the paper presents five simulations based on reliable scenarios that have been developed on some effective data referring to two types of damage produced by seven Romanian logging companies in 1999, in Suceava state county forest. Firstly, the deterministic scenario shows that environment-friendly companies become more competitive due to the new system because they have an additional income from sold permits. Conversely, companies unable to protect the environment are to pay more for being in business and thus their capacity to buy more timber is diminished. Assuming that companies able to get money due to this kind of trade are also able to improve their technology and can afford to buy more timber, it was demonstrated that the technological transfer is encouraged by the new system that might be combined with a regular compensation paid to the landowner as well. The greater the bond, the more advantageous the system for fewer and fewer companies. The lower the bond, the more companies can take advantage of the system but less money is collected from a given market.

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24

Dmitrenko, E. V., Yu I. Zakharchenko, and S. P. Shuray. "Prevention of the accidents based on risk analysis during well logging." Okhrana truda i tekhnika bezopasnosti na promyshlennykh predpriyatiyakh (Labor protection and safety procedure at the industrial enterprises), no. 3 (2021): 51–55. http://dx.doi.org/10.33920/pro-4-2103-07.

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Conduction of well logging is associated with the possibility of occurrence of various emergency situations. The most probable are the sticking of well-logging tools and logging cable rupture. Such events can trigger the development of emergencies. Therefore, ensuring safety during well logging is an actual and practically important task. The authors analyzed the risk of well logging activities using the method of event tree analysis. It has been found that the main causes of sticking are rapid descent of the logging probe and casing string displacement. The rapid descent of logging probes is associated with incorrect actions of the operator and damage to the well logging winch. The logging probe breakage (rupture) is associated with mechanical damage to the cable and poor connection of the probe to the cable. The authors propose a set of specific recommendations to reduce the risk of accidents and to improve the coherence of the work carried by drilling personnel and the well logging laboratory, to timely detect defects in the logging cable and to rapidly remove well-logging tools in the event of an accident.

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25

Williams, G. Bob, Purabi Bora, and Omprakash Sahu. "A Solution to Tough Logging Conditions (Lwf): Intro to Tough Logging Conditions, Logging While Fishing, Operation Procedure and Conditions." Sumerianz Journal of Scientific Research, no. 44 (November 15, 2021): 95–103. http://dx.doi.org/10.47752/sjsr.44.95.103.

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This review work summarised new generation logging techniques such Tough Logging Conditions (TLC) & Logging While Fishing (LWF) and their advancement in drilling operations. The production of Oil & gas from the stage of exploration to production should need a lot of data for economic and safe operations. The conditions of the sub-surface cannot be simply predicted unless with some measured parameters under the LOGGING term. Logging is defined as a continuous record of Petro’s physical parameters of rock against time and depth. Instead of conventional logging techniques of wireline such as SP, Gamma-ray, Neutron, Calliper log, etc, logging while drilling, logging while fishing set them aside of their extended applications. Logging while Fishing is a new generation technology that allows unfailing operations of logging tool by a special installation even in cut and thread operation also aids economic and time enhancement. Tough logging conditions are a technique applied either when the hole has highly deviated or when you need to control the position of a tool. This project includes the study and interpretation of above discussed new generation logs. These tools offer all types of logging carried out on wireline except the SP logging. Logging while drilling provides real-time measurements of physical parameters while drilling operation itself which avoids an additional running of tools causing trips and sticking of drill pipe. The data is stored in the bottom assembled logging tool.

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26

Johnson, Morris C., Jessica E. Halofsky, and David L. Peterson. "Effects of salvage logging and pile-and-burn on fuel loading, potential fire behaviour, fuel consumption and emissions." International Journal of Wildland Fire 22, no. 6 (2013): 757. http://dx.doi.org/10.1071/wf12080.

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We used a combination of field measurements and simulation modelling to quantify the effects of salvage logging, and a combination of salvage logging and pile-and-burn fuel surface fuel treatment (treatment combination), on fuel loadings, fire behaviour, fuel consumption and pollutant emissions at three points in time: post-windstorm (before salvage logging), post-salvage logging and post-surface fuel treatment (pile-and-burn). Salvage logging and the treatment combination significantly reduced fuel loadings, fuelbed depth and smoke emissions. Salvage logging and the treatment combination reduced total surface fuel loading (sound plus rotten) by 73 and 77%. All fine woody fuels (<7.6cm) were significantly reduced by salvage logging and the treatment combination. In contrast, there was significant increase in the 1000-h (7.6–22.9cm) fuel loading. Salvage logging and the treatment combination reduced mean fuelbed depth by 38 and 65%. Salvage logging reduced PM2.5 emissions by 19%, and the treatment combination reduced emissions by 27%. Salvage logging and the treatment combination reduced PM10 emissions by 19 and 28%. We observed monotonic changes in flame length, reaction intensity and rate-of-spread after salvage logging and treatment combination. Study results illustrate potential differences between the effects of salvage logging after windstorms and the effects of salvage logging after wildfire.

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27

DANYLIV, Serhiy, Volodymyr KARMAZENKO, Oleg STASIV, Maksym BONDARENKO, and Volodymyr КULYK. "APPARATUS-METHODICAL COMPLEXES TO DETERMINE PETROPHYSICAL PARAMETERS OF HYDROCARBON RESERVOIRS WHILE DRILLING AND IN CASED BOREHOLES." Ukrainian Geologist, no. 1-2(44-45) (June 30, 2021): 84–92. http://dx.doi.org/10.53087/ug.2021.1-2(44-45).238935.

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The results of the development of apparatus-methodical complexes for the topical trends of geophysical borehole research, namely logging while drilling and wireline logging in cased boreholes, are presented. The complexes are based on the use of radioactive logging methods, which are effective in the presence of steel pipes in the borehole (integral gamma-ray logging, neutron-neutron logging, neutron-gamma logging and density logging). Combined tools for logging while drilling (LWD-KPRK-48, diameter 48 mm) and wireline logging in cased wells (WL-KPRK-42, diameter 42 mm) have been developed. The grading characteristics of the tools for typical logging conditions were obtained. The main elements of interpreting-methodological support have been developed to determining the petrophysical parameters of oil and gas reservoirs: shaliness, density, porosity, type of saturation, etc. The borehole tests have demostrated high information capacity and efficiency of developed complexes.

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28

ROZAK, Andes Hamuraby. "Towards better estimates of carbon stocks in Borneo's logged-over Dipterocarp forests." BOIS & FORETS DES TROPIQUES 345 (November 2, 2020): 101–2. http://dx.doi.org/10.19182/bft2020.345.a31940.

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Tropical forests are a major reservoir of biodiversity and carbon (C), playing a pivotal role in global ecosystem function and climate regulation. However, most tropical forests, especially Borneo's forests in Southeast Asia, are under intense pressure and threatened by human activities such as logging, mining, agriculture and conversion to industrial plantations. Selective logging is known to reduce both above- and below-ground biomass by removing selected large trees, while increasing deadwood stocks through collateral logging damage and creating large gaps in the canopy. The extent of incidental damage, canopy opening and the rate of C recovery were shown to be primarily related to logging intensity. This thesis assesses the long-term effects of logging intensity on five main C pools in Dipterocarp forests in northern Borneo (Malinau District, North Kalimantan) along a logging intensity gradient ranging from 0 to 57% of initial biomass removed in 1999/2000. Our results showed that total C stocks 16 years after logging ranged from 218-554 Mg C/ha with an average of 314 Mg C/ha. A difference of 95 Mg C/ha was found between low logging intensity (< 2.1% of initial biomass lost) and high logging intensity (> 19%). Most C (approx. 77%) was found in living trees, followed by soil (15%), deadwood (6%) and a small fraction in litter (1%). The imprint of logging intensity was still detectable 16 years after logging. Logging intensity was thus shown to be the main driver explaining the reduction of AGC>20, BGC>20, in deadwood and total C stocks and an increase in deadwood. Our results quantify the long-term effects of logging on forest C stocks, especially in AGC and deadwood. High logging intensity (50% reduction of initial biomass) reduced total C stocks by 27%. AGC recovery was lower in high logging intensity plots, suggesting lowered forest resilience to logging. Our study showed that keeping logging intensity below 20% of the initial biomass can limit the long-term effects of logging on AGC and deadwood stocks.

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29

Roque, Rafael H., Alexandre M. Sebbenn, David H. Boshier, Afonso F. Filho, and Evandro V. Tambarussi. "Logging Affects Genetic Diversity Parameters in an Araucaria angustifolia Population: An Endangered Species in Southern Brazil." Forests 14, no. 5 (May 18, 2023): 1046. http://dx.doi.org/10.3390/f14051046.

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Araucaria angustifolia is an endangered species with more than 97% of its natural populations extinct. Logging of the species in the few remaining natural populations is highly restricted, though not readily accepted by farmers and logging companies. Consequently, political pressures have emerged for a return to logging of the species. Assessing the sustainability of such logging requires studies of a range of impacts on the remaining populations, including their genetic viability. We investigated the effect of selective logging on genetic diversity, intrapopulation spatial genetic structure (SGS), effective population size (Ne), and pollen and seed dispersal in three A. angustifolia permanent sample blocks established in a remnant of Araucaria Forest in Brazil. In these sample blocks, three logging intensities were applied (LI: 18.4, 31.4, and 32.3% of trees). Microsatellite analysis was performed for all adult and juvenile trees pre- and post-logging saplings. After selective logging, the greatest loss of alleles and the greatest decrease in Ne were observed from the highest LI. Logging increased SGS, while the distance and patterns of pollen and seed dispersal were different for both pre- and post-logging scenarios, with pollen dispersed over greater distances than seed. Pollen dispersal distance post-logging and seed dispersal distance pre- and post-logging decreased with the increased distance between parents. After logging, Ne reduced from 27.7 (LI = 31.4%) to 28.8 (LI = 18.4%) and 39.5% (LI = 32.3%), and some alleles were lost. Despite this, the loss of these alleles may be compensated for in subsequent generations, considering that logging resulted in changes such as an increase in the rate and distance of pollen immigration. Under the conditions evaluated in this study, selective logging of A. angustifolia is not adequate. To achieve truly sustainable forest logging, new rules that combine higher minimum DBH, lower logging intensity, and longer cutting cycles must be adopted. Furthermore, extensive genetic studies must be performed before logging any individual from a natural population.

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Agustinus Mikael Rondo, Pieter. "Quo Vadis Penegakan Hukum: Kewenangan Pemerintah Terhadap Lingkungan Hidup dalam Kasus Illegal Logging Di Indonesia." Jurnal Syntax Transformation 3, no. 4 (April 26, 2022): 532–37. http://dx.doi.org/10.46799/jst.v3i4.545.

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Illegal logging in Indonesia is not a new problem. The problem of illegal logging has existed since the Old Order era, even before. The term illegal logging has only recently become popular, but deforestation, including illegal logging, has been going on for a long time. Generally, illegal logging or illegal logging is motivated by economic interests. People who want to get more profit, workers who cut trees, people around the forest who do illegal logging because they really need income to survive. The aim is to guarantee legal certainty and provide a deterrent effect for perpetrators of forest destruction and ensure the existence of forests in a sustainable manner while maintaining sustainability and not damaging the environment and surrounding ecosystems. Research This qualitative method can be used to uncover and understand something behind a phenomenon that is not at all known. The qualitative narrative format aims to describe, summarize various conditions, situations or various phenomena of social reality that exist in society. The elements contained in the crime of Illegal Logging include activities, logging, timber transportation, logging, logging, and the purchase of timber, which can damage the forest, as well as there are laws that prohibit and conflict with applicable laws. Illegal logging includes a series of activities in forestry related to the use and management of forests that are against the law and may damage forests. it is concluded that the people who commit the crime of illegal logging are people who do not think about the impact or influence that will arise if illegal logging is carried out or illegal logging of forest trees. The impact of illegal logging is very detrimental to the community in addition to causing natural disasters, but will also cause disasters in crises of social and economic needs.

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31

Wang, Shiyao, Dan Mou, Xinghua Qi, and Zhuwen Wang. "Analysis of Multifractal Characteristics and Detrended Cross-Correlation of Conventional Logging Data Regarding Igneous Rocks." Fractal and Fractional 9, no. 3 (March 7, 2025): 163. https://doi.org/10.3390/fractalfract9030163.

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In the current context of the global energy landscape, China is facing a growing challenge in oil and gas exploration and development. It is difficult to evaluate the log data because of the lithological composition of igneous rocks, which displays an unparalleled degree of complexity and unpredictability. Against this backdrop, this study deploys advanced multifractal detrended fluctuation analysis (MF-DFA) to comprehensively analyze key parameters within igneous rock logging data, including natural gamma-ray logging, resistivity logging, compensated neutron logging, and acoustic logging. The results unequivocally demonstrate that these logging data possess distinct multifractal characteristics. This multifractality serves as a powerful tool to elucidate the inherent complexity, heterogeneity, and structural and property variations in igneous rocks caused by diverse geological processes and environmental changes during their formation and evolution, which is crucial for understanding the subsurface reservoir behavior. Subsequently, through a series of rearrangement sequences and the replacement sequence on the original logging data, we identify that the probability density function and long-range correlation are the fundamental sources of the observed multifractality. These findings contribute to a deeper theoretical understanding of the data-generating mechanisms within igneous rock formations. Finally, multifractal detrended cross-correlation analysis (MF-DCCA) is employed to explore the cross-correlations among different types of igneous rock logging data. We uncover correlations among different igneous rocks’ logging data. These parameters exhibit different properties. There are negative long-range correlations between natural gamma-ray logging and resistivity logging, natural gamma-ray logging and compensated neutron logging in basalt, and resistivity logging and compensated neutron logging in diabase. The logging data on other igneous rocks have long-range correlations. These correlation results are of great significance as they provide solid data support for the formulation of oil and gas exploration and development plans.

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32

Wu, Jiang, Juan Ni, and Xiao Jiao Yuan. "Design and Implementation of Support Production Logging Comprehensive Interpretation System Platform." Advanced Materials Research 457-458 (January 2012): 1326–30. http://dx.doi.org/10.4028/www.scientific.net/amr.457-458.1326.

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With the continuous development of logging interpretation technology, the basic information gathering from the logging, the logging documents and case knowledge, the result data from logging interpretation and so on are increasing massively, logging data management has gradually become an important oil-service management work. The Comprehensive interpretation of production logging support system platform develops in this paper, which major function lies in it provides an integrated platform for well logging data management, it provides software and data support for kinds of interpretation. At the same time it realizes the demand for process different data formats.

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33

Han, Jian, Sijie Wang, Zhimin Cao, Jialu Li, and Meng Liu. "Multi-view and multi-scale super-resolution method of logging curves based on fractal theory." Review of Scientific Instruments 93, no. 12 (December 1, 2022): 124501. http://dx.doi.org/10.1063/5.0100197.

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With the increasing development of unconventional reservoirs around the world, there is an increasing need to enhance the level of geological characterization. Obviously, since the well loggings are one of the most important data to obtain a fine-scale reservoir model, obtaining well loggings with sufficiently high vertical resolution has always been an important issue and challenge. Therefore, due to its low cost and less time-consuming, employing an advanced signal processing technique to enhance the vertical resolution of loggings has always been a research hotspot in the relevant literature. However, non-homogeneity of the target reservoir is not taken into account in the traditional methods such as vertical resolution matching and spline function interpolation. Furthermore, for state-of-the-art methods that employ different versions of shallow or deep machine learning models, how to adequately exploit the multi-scale shape and temporal information in the employed loggings has been a very challenging problem. To address the above problems, by combining the fractal theory with the long short-term memory network technique, a novel multi-view and multi-scale logging resolution enhancing method was proposed in this paper to make full use of the self-shape-similarity and temporal correlation information in the logging data. Experimental results show that, compared with bi-cubic linear interpolation, sparse representation, super-resolution convolutional neural network and random forest, more promising supper-resolution results can be obtained using the proposed method.

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34

Egan, Andrew. "Characteristics of New York's Logging Businesses and Logging Business Owners." Northern Journal of Applied Forestry 26, no. 3 (September 1, 2009): 106–10. http://dx.doi.org/10.1093/njaf/26.3.106.

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Abstract Despite the importance of the forest products industry to New York's manufacturing sector, concerns about reductions in logging capacity, and attention given to logging communities in other states, there has been a lack of systematically gathered data about the state's logging community. A mailed survey, informed by focus groups, key informant interviews, and previous research, was used to solicit information from logging business owners on issues such as occupational choice and prestige, familial attachment, logger training, and barriers to maintaining their logging businesses. Most New York logging business owners cited positive aspects of their work as reasons for becoming loggers, but they sensed both a lack of occupational prestige associated with logging and a lack of understanding among the general public of the logging profession and its contributions to theeconomy. There were some significant differences between loggers who worked in the Adirondack region and those from the rest of the state, especially related to the effects of forest ownership changes on their businesses. As with similar studies of the logging communities in other states in the northeast, this study provides background information on loggers and logging businesses in New York that may be useful to the state's forest products industry, department of labor, logger training entities, and legislature. In addition, this research represents a reference point from which future studies of the state's logging workforce may be more clearly understood, providing an opportunity to track changes in this important forestry-sector workforce over time.

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35

Costa, Flávia R. C., and William E. Magnusson. "Effects of Selective Logging on the Diversity and Abundance of Flowering and Fruiting Understory Plants in a Central Amazonian Forest." Biotropica 35, no. 1 (June 7, 2003): 103–14. https://doi.org/10.5281/zenodo.13409376.

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(Uploaded by Plazi for the Bat Literature Project) There is much interest in ways to exploit tropical timber without greatly changing forest processes and diversity. To achieve this, it is necessary to know the maximum logging intensity that can be used and how long the forest takes to recover from logging. Because little is known about the effects of selective logging on non-timber plant species, we examined the effects of logging intensity and time after logging on the diversity and abundance of flowering and fruiting understory plants in a Central Amazonian forest near Manaus, Brazil. Logging was carried out experimentally at varying intensities in eight 4 ha plots in 1987 and three plots in 1993. Logging intensity ranged between 14 and 45 m3/ha of extracted timber. Three plots were left as controls. Each month, from October 1996 to September 1998, we recorded the number of individuals and species of herbs, shrubs, small trees, and small palms that were flowering and fruiting in six transects per plot. We found 107 species flowering and 111 species fruiting. The abundance of flowering plants was affected by time after logging, but not by the intensity of logging. The abundance of fruiting plants was not related either to time after logging or logging intensity. Richness of flowering and fruiting plants was related to time after logging, but not to the intensity of logging. The results indicate that selective logging, at the intensities and scale analyzed, does not cause reductions in flower and fruit production by the understory community. Both quantity and quality of resources for animals are maintained and possibly even increased in logged areas, shortly after logging takes place. As the levels of reproduction in plots logged 11 years before remained close to those in controls, maintenance of the understory community does not seem to be problematical.

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36

Rosenberg, Jan. "Rangeley Logging Festival." Journal of American Folklore 115, no. 457/458 (2002): 481. http://dx.doi.org/10.2307/4129194.

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37

Thompson, Sara T., and William B. Magrath. "Preventing illegal logging." Forest Policy and Economics 128 (July 2021): 102479. http://dx.doi.org/10.1016/j.forpol.2021.102479.

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38

Hoahwah, Sy. "Logging Trail Angel." World Literature Today 91, no. 3 (2017): 53. http://dx.doi.org/10.1353/wlt.2017.0195.

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39

Sy Hoahwah. "Logging Trail Angel." World Literature Today 91, no. 3-4 (2017): 53. http://dx.doi.org/10.7588/worllitetoda.91.3-4.0053.

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40

McGee, T. G., and M. Patricia Marchak. "Logging the Globe." Pacific Affairs 69, no. 4 (1996): 564. http://dx.doi.org/10.2307/2761192.

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41

Foster, John Bellamy, and M. Patricia Marchak. "Logging the Globe." Contemporary Sociology 25, no. 5 (September 1996): 598. http://dx.doi.org/10.2307/2077536.

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42

Broding, Robert A. "Acoustic borehole logging." Journal of the Acoustical Society of America 90, no. 6 (December 1991): 3386. http://dx.doi.org/10.1121/1.401374.

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43

Keen, John S., and William J. Dally. "Extended ephemeral logging." ACM Transactions on Database Systems 22, no. 1 (March 1997): 1–42. http://dx.doi.org/10.1145/244810.244811.

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44

Wellington, Alex, and M. Patricia Marchak. "Logging the Globe." Canadian Public Policy / Analyse de Politiques 22, no. 2 (June 1996): 193. http://dx.doi.org/10.2307/3551917.

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45

Arulraj, Joy, Matthew Perron, and Andrew Pavlo. "Write-behind logging." Proceedings of the VLDB Endowment 10, no. 4 (November 2016): 337–48. http://dx.doi.org/10.14778/3025111.3025116.

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46

Chang, Li-Pin, Yo-Chuan Su, and I.-Chen Wu. "Plugging Versus Logging." ACM Transactions on Embedded Computing Systems 14, no. 2 (March 25, 2015): 1–21. http://dx.doi.org/10.1145/2629455.

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47

Loetzsch, W., N. Michme, and A. R. Volker. "Neutron Activation Logging." Isotopenpraxis Isotopes in Environmental and Health Studies 21, no. 4 (January 1985): 118–21. http://dx.doi.org/10.1080/10256018508623462.

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48

Whitten, Anthony J., and Johanne Ranger. "Logging at Bohorok." Oryx 20, no. 4 (October 1986): 246–48. http://dx.doi.org/10.1017/s0030605300020299.

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The felling of forest adjacent to the well-known Bohorok Orang-utan Rehabilitation Centre in North Sumatra, Indonesia, stimulated a series of local and national government responses, the course of which is instructive for those trying to grapple with conservation problems in Indonesia and elsewhere. The authors followed the story while working as Advisor to the Centre for Resource and Environmental Studies at the University of North Sumatra, Medan, and World Wildlife Fund volunteer at the Bohorok Centre, respectively.

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49

McDOUGALL, J., W. H. FERTL, G. V. CHILINGARIAN, and T. F. YEN. "Circumferential Acoustic Logging." Energy Sources 10, no. 1 (January 1988): 43–53. http://dx.doi.org/10.1080/00908318808908915.

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50

Timur, A., and M. N. Toksoz. "Downhole Geophysical Logging." Annual Review of Earth and Planetary Sciences 13, no. 1 (May 1985): 315–44. http://dx.doi.org/10.1146/annurev.ea.13.050185.001531.

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