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Journal articles on the topic "Geological surveys Data processing Oman"
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van Kuilenburg, J. "Processing map and well log data for geological and soil surveys." Mathematical Geology 18, no. 1 (January 1986): 75–92. http://dx.doi.org/10.1007/bf00897656.
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Uchastkin, Andrey A., Vladimir A. Mikhailov, and Alexander O. Navrotsky. "Experience in the use of attribute analysis in assessing the information content and quality of regional seismic data processing." Geoinformatika, no. 3 (September 24, 2022): 47–55. http://dx.doi.org/10.47148/1609-364x-2022-3-47-55.
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The article discusses the possibilities of quantifying the information content and quality of processing materials of regional seismic surveys based on the use of attribute analysis. Attribute analysis allows you to control the processing of seismic time sections, correcting the graph in a timely manner and selecting the main parameters of the processing procedures used processing, providing the most effective solution of the set geological tasks when performing regional seismic surveys according to the state assignment of the FSBI "VNIGNI".
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Wu, Jianjun. "Potential pitfalls of crooked‐line seismic reflection surveys." GEOPHYSICS 61, no. 1 (January 1996): 277–81. http://dx.doi.org/10.1190/1.1443949.
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During the last few years, the Geological Survey of Canada has pioneered the application of seismic reflection profiling to mineral exploration, in close collaboration with Canadian mining companies and with the Lithoprobe project (e.g., Spencer et al., 1993; Milkereit et al., 1994). Because of the rugged terrain in crystalline rock environments (Dahle et al., 1985; Spencer et al., 1993), vibroseis seismic surveys are frequently conducted along existing roads, resulting in extremely crooked survey profiles. Crooked profiling geometry, coupled with the complex nature of the geological targets, pose special challenges for seismic data processing and interpretation. Many common‐midpoint seismic processing techniques are based on an implicit assumption of a straight‐line survey and are most effective with uniform fold and even offset distribution within common‐midpoint (CMP) gathers. However, with crooked‐line acquisition the CMP gathers are characterized by variable fold and uneven offset distribution. Based on experience with several seismic data sets from mining camps, I have identified two potential pitfalls that stem from acquisition along crooked profiles: (1) seismic transparent zones; and (2) coherent noise. To address these problems, I have critically re‐examined the basic aspects of the CMP processing techniques and have developed robust strategies for dealing with crooked profiles. In this paper, I present a field data example to demonstrate the artifacts and also discuss solutions to eliminate them. Although developed for seismic prospecting in mining camps, the methods presented here are applicable to seismic data acquired in any environment.
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Wu, Chunming, Xiao Li, Weitao Chen, and Xianju Li. "A Review of Geological Applications of High-Spatial-Resolution Remote Sensing Data." Journal of Circuits, Systems and Computers 29, no. 06 (September 11, 2019): 2030006. http://dx.doi.org/10.1142/s0218126620300068.
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Geologists employ high-spatial-resolution (HR) remote sensing (RS) data for many diverse applications as they effectively reflect detailed geological information, enabling high-quality and efficient geological surveys. Applications of HR RS data to geological and related fields have grown recently. HR optical remote sensing data are widely used in geological hazard assessment, seismic monitoring, mineral exploitation, glacier monitoring, and mineral information extraction due to high accuracy and clear object features. By reviewing these applications, we can better understand the results of previous studies and more effectively use the latest data and methods to efficiently extract key geological information. Compared with optical satellite images, synthetic-aperture radar (SAR) images are stereoscopic and exhibit clear relief, strong performance, and good detection of terrain, landforms, and other information. SAR images have been applied to seismic mechanism research, volcanic monitoring, topographic deformation, and fault analysis. Furthermore, a multi-standard maturity analysis of the geological applications of HR images reveals that optical remote sensing data are superior to radar data for mining, geological disaster, lithologic, and volcanic applications, but inferior for earthquake, glacial, and fault applications. Therefore, it is necessary for geological remote sensing research to be truly multi-disciplinary or inter-disciplinary, ensuring more detailed and efficient surveys through cross-linking with other disciplines. Moreover, the recent application of deep learning technology to remote sensing data extraction has improved the capabilities of automatic processing and data analysis with HR images.
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Ligtendag, Maarten H. P. "The 3-D MegaProject in Petroleum Development Oman: A 3-D Data Management Concept for Seismic, Workstation Support and Interpretation." GeoArabia 4, no. 1 (January 1, 1999): 37–50. http://dx.doi.org/10.2113/geoarabia040137.
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ABSTRACT The concession of Petroleum Development Oman (PDO) is covered with some 30,000 square kilometres of 3-D seismic data, consisting of some 90 individual surveys, acquired and processed since 1984. With the 3-D coverage rapidly growing, more and more continuous coverage over large parts of the PDO concession is established. Traditionally surveys were processed on a survey-by-survey basis, incorporating some data from neighbouring surveys whenever possible. This approach resulted in a patchwork of often overlapping stand-alone 3-D projects, all with different datums, amplitude normalisations and processing histories. PDO strongly believes in the value of large integrated interpretation projects and the information that can be gained by using them. In order to achieve this the 3-D MegaProject was conducted during part of 1996 and 1997. As part of the 3-D MegaProject all 3-D seismic surveys acquired to date by PDO have been harmonised and merged. The concession area has been split up into four separate 3-D MegaGrids according to the dominant acquisition direction. Within each MegaGrid a consistent in-line and cross-line numbering is used. The data are stored in cubes of 10 by 10 kilometres, referred to as MegaCells, which serve as the 3-D seismic data library. In the future, processing and merging of newly-acquired seismic data will follow the same procedures according to the common framework of MegaCells.
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Williams, Gareth, Stéphan Midenet, and Tony Weatherall. "True 3D—wide azimuth seismic comes of age onshore as well as offshore." APPEA Journal 50, no. 2 (2010): 710. http://dx.doi.org/10.1071/aj09074.
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The advantages of recording a well-sampled, wider range of azimuths on seismic surveys are being seen in different geological settings worldwide. The success of wide-azimuth surveys has been well documented for sub-salt illumination in the deep water plays of the Gulf of Mexico. Multi-azimuth surveys have similarly shown improved S/N beneath the Messinian unconformity offshore Egypt. More recently, the benefits of improved sampling (and hence attenuation) of noise by dense, wide-azimuth surveys have been demonstrated onshore Oman. Although the successful marine results have highlighted the benefits of true 3D or wide-azimuth surveys, land surveys have often been recorded with a wide range of azimuths for many years. The step-change occurring onshore is the dramatic increase in the trace density on wide-azimuth surveys. We are learning that one of the reasons that conventional land seismic data have often been viewed as noisy is that coherent energy, particularly near surface events, is grossly under-sampled. Modern land recording techniques such as overlapping vibrator sweeps, single vibrator (point source) recording, multiple vibrator fleets and high channel systems allow us to record data much more efficiently. In turn, these enabling technologies allow us to obtain much improved seismic data quality via greatly increased sampling density. Moreover, recording geometries on this new generation of land supercrews provide trace densities that are many times higher than on marine surveys. The next step for marine wide-azimuth surveys may require a similar step-change in recording density in order to address difficult geologies that cannot be imaged with current recording techniques.
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Zaręba, Mateusz, Tomasz Danek, and Jerzy Zając. "On Including Near-surface Zone Anisotropy for Static Corrections Computation—Polish Carpathians 3D Seismic Processing Case Study." Geosciences 10, no. 2 (February 11, 2020): 66. http://dx.doi.org/10.3390/geosciences10020066.
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Obtaining the most accurate and detailed subsurface information from seismic surveys is one of the main challenges for seismic data processing, especially in the context of complex geological conditions (e.g., mountainous areas). The correct calculation of static corrections allows for the reliable processing of seismic data. This, in turn, leads to better geological interpretation. A seismic signal passing through a near-surface zone (NSZ) is adversely affected by the high heterogeneity of this zone. As a result of this, observed travel times often show anisotropy. The application of refractive waves and the time delay solution without taking into account the effects caused by the complex anisotropy of an NSZ does not meet the standards of modern seismic surveys. The construction of the NSZ model in mountain regions with the use of refraction may be extremely difficult, as the vertical layers can be observed very close to the surface. It is not sufficient to apply regular isotropic refractive solutions in such conditions. The presented studies show the results of taking into account the anisotropy of an NSZ in the calculations of static corrections. The presented results show that this step is critical for the detailed processing of three-dimensional (3D) seismic data collected in the difficult region of the Carpathians in Southern Poland.
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McMahon, Neil, Kees Ruitenbeek, Jan Wams, and Steve Slawson. "Best Practices in 3-D Land Seismic Acquisition in the Middle East and North Africa: Cost-Effective Acquisition in a Low Oil Price Environment." GeoArabia 4, no. 2 (April 1, 1999): 183–96. http://dx.doi.org/10.2113/geoarabia0402183.
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ABSTRACT Increasing expenditure in 3-D land seismic acquisition has driven the need to define Best Practices and improvement areas in the acquisition process. Petroleum Development Oman (PDO) and Arthur D. Little Management Consultants undertook a study to identify these Best Practices in the Middle East and North African regions by interviewing 34 companies and compiling data from 51 recent vibroseis surveys. Acquisition costs and duration from surveys over similar terrains, but with varying geometries, were compared on an equal basis to determine the most cost-effective method for acquiring high-quality (i.e. data density) 3-D data. High-quality surveys acquired using a Zig Zag geometry had lower costs than those acquired using conventional geometries over gravel plain terrain. However, there was no clear best geometry for other terrains. Acquisition performance was also improved by adopting a number of Best Practices covering the design, planning, contracting strategy, execution, processing and post-acquisition elements of the seismic acquisition process.
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Loginov, Dmitriy S. "Web technologies in cartographic support of geological exploration." Proceedings of the ICA 4 (December 3, 2021): 1–6. http://dx.doi.org/10.5194/ica-proc-4-68-2021.
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Abstract. Web technologies are now an integral part of the implementation of research work in various branches of science. The geological and geophysical direction is no exception, where the planning and execution of geological and geophysical surveys depend on the accuracy, reliability and relevance of the transmitted information.The article deals with the possibilities of web technologies for cartographic support of geological exploration – a complex of scientific and production works, designed to determine the industrial significance of mineral deposits (ore, hydrocarbon, etc.). Examples are given of the use of geoportal solutions for the publication of data on the territory of study.Taking into account the current level of web technologies development, a proprietary web-service was created to provide operational access to geodata during geological and geophysical work. The presented solution is implemented using PostgreSQL DBMS, PostGIS geospatial data processing module, Leaflet JavaScript library. The resulting interactive map allows to perform operational monitoring of field crews during seismic exploration, provides information on the stages of data processing and interpretation. Also it allows to implement a unified geoinformation space for joint work of specialists from different industries.
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Stepanov, N. A., M. V. Aleshkin, and Yu S. Popkov. "PROCESSING OF ACOUSTIC IMAGES OF THE BOTTOM DURING ENGINEERING– GEOLOGICAL SURVEYS IN THE AQUATIC AREAS." Engineering survey 12, no. 9-10 (April 4, 2019): 74–83. http://dx.doi.org/10.25296/1997-8650-2018-12-9-10-74-83.
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During engineering surveys in water areas, the side-scan sonar method (SSS) plays an important role in detecting hazards located on the surface of the seabed. At the same time, the SSS recording is often complicated by several interference associated with the surveying conditions (thermocline); with the joint surveying of several methods(the spikes from the transponder-responder); with weather conditions (strips in the records due to irregular movement of the vessel and twitching of the towing cable) and others. The solution of description, analysis and removal these interferences without losses quantity and quality of useful information is shown. The description of the results of interference removal from the sonar recording is important not only for data improvement, but also for understanding in which cases interference can be removed, and in which cases it is necessary to re-pass profile or change the surveying conditions. An analysis of the interferences, usually present on sonar recordings, and methods of dealing with some of them to increase the effectiveness of the sonar data processing during engineering surveys are presented. Herewith, the analysis of interferences is performed for the possibility of their localization, separation from useful record and removal. The study shows that with the approach chosen by the authors, the data on potential hazards are not lost, while the signal-to-interference ratio significantly increases. As a result of the work, conclusions were obtained that some types of interference can be completely eliminated by processing methods, some can only be partially removed, and certain cannot yet be removed by processing methods and it is necessary to eliminate such interference methodologically.
Dissertations / Theses on the topic "Geological surveys Data processing Oman"
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Whitehead, Robert. "Interpretation of aeromagnetic data from the Kuruman Military Area, Northern Cape, South Africa - through the use of structural index independent methods: a description of three depth and structural index inversion techniques for application to potential field data." Thesis, 2016. http://hdl.handle.net/10539/19305.
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A dissertation submitted to the Faculty of Science, University of the Witwatersrand, Johannesburg, in fulfilment of the requirements for the degree of Master of Science. Johannesburg, 2015Three new methods for determining the structural index and source distance for magnetic field data are presented. These methods require only the calculation of the first and second order analytic signal amplitudes of the total field and are applicable to both profile and gridded data. The three methods are first tested on synthetic data and then on two real datasets to test for applicability and repeatability. It was found that each method had different strengths and weaknesses and thus one method cannot be favoured over the others. Cooper (2014) describes how to calculate the distance to source over both profile and gridded data given a user defined structural index. Often however, particularly in the case of real data, the structural index is not known or varies over the surveyed area. These three new methods however do not require any user input since the structural index is calculated thus making them more applicable to regions of unknown geology. It was found that the first of the three new methods, the multi-distance inversion method, was best used as an edge-detection filter, since the use of higher order derivatives resulted in increased noise levels in the distance to source calculation. The third of these new methods, the unconstrained inversion method, discussed in Chapter 7, not only solves for the structural index but also determines the depth of the source. In that particular case, the structural index is used as a rejection filter, whereby, depth solutions associated with structural index values outside of the expected range are deemed to be invalid. Unlike the third new method, the first two methods require the distance to source to be calculated via the approach described by Cooper (2014) (which requires the user to define the structural index), the results of which are later rescaled by the calculated structural index to yield what is termed a rescaled distance to source. All three of the new methods are fully automatic and require no user control. The techniques were first tested on both profile and gridded theoretical data over sources with known structural index values. All of the methods were able to estimate the structural index of each of the particular sources and give depth estimates that varied from the true depth by less than 20 percent (with deeper sources being more inaccurate). Noise was also added to the theoretical data in an attempt to assess how the methods can be expected to perform with real data. It was found that when applied to noisy data, these methods performed equally well to slightly worse, than when the method developed by Cooper (2014) was used. As a real world case study these three new methods were tested on aeromagnetic data collected over the Kuruman Military Area, Northern Cape, South Africa. Regional deformations as well as later intrusive dykes and cross cutting faults were imaged by the chosen depth determination procedures. The dolerite dykes in the area were found to occur between 20 to 60 m deep. While the sand cover was estimated to be between 30 to 40 m thick. Overall, the techniques yield distance to source estimates that differ by less than 15 m, over sources, to the results obtained by using the source distance method (Cooper, 2014). To test for repeatability a second aeromagnetic dataset, collected over a dyke swarm within the Bushveld Complex, South Africa was considered. Again comparable (less than 15 m over sources) depth estimates were made between the unconstrained and constrained inversions. Since the distance to source estimates produced by these new unconstrained inversion methods are comparable to those produced by constrained inversion (Cooper, 2014) the project can be deemed successful.
Books on the topic "Geological surveys Data processing Oman"
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(Finland), Geologian tutkimuskeskus. Geological Survey of Finland international services. [Espoo, Finland]: Geological Survey of Finland, 1993.
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Meeting, International Consortium of Geological Surveys for Earth Computing Sciences. International Consortium of Geological Surveys for Earth Computing Sciences: April 21-25, 1997, Vienna, Austria : proceedings, programme and abstracts. Wein: Geologische Bundesanstalt, 1997.
Find full textBook chapters on the topic "Geological surveys Data processing Oman"
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Genge, Matthew J. "Modern techniques in illustration and recording in geology." In Geological Field Sketches and Illustrations, 267–82. Oxford University Press, 2019. http://dx.doi.org/10.1093/oso/9780198835929.003.0016.
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Advances in technology have enabled new methods in the acquisition and recording of field data in geology and its presentation within publications. These techniques compliment, rather than replace, traditional field observations. This chapter describes the use of photogrammetry and aerial drone surveys in constructing three-dimensional models of geological features, which provide valuable data when combined with field notes on lithology. Digital methods in the analysis and processing of images are discussed together with methods in digital drawing and painting to produce publication-ready diagrams for Earth Science. Photographs for use in publications should be corrected to ensure optimal contrast and brightness.
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Kasuga, Shigeru, and Tadahiko Katsura. "Seismic Reflection and Refraction Methods." In Continental Shelf Limits. Oxford University Press, 2000. http://dx.doi.org/10.1093/oso/9780195117820.003.0017.
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In order to establish the outer limit of the continental shelf, as defined by article 76 of the Convention (UNDOALOS, 1993), it is necessary for the coastal State to determine the foot of the slope and to know the thickness of the sediments beneath the ocean floor. Geophysical surveys, using seismic techniques, have been extensively used for mapping of subsurface geological structures. In seismic surveys, seismic waves are generated by near-surface artificial explosions at a series of sites; the resulting waves are then recorded digitally and as an analogue record. The regional geological structure and sediment thickness can then be deduced from analysis of the travel times of identifiable wave groups. This chapter briefly outlines the various seismic survey methods with special emphasis on seismic reflection and refraction surveys. It also discusses the most commonly used techniques for determining the subsurface structure, including determination of the velocities of sediments using seismic waves. Seismic reflection surveys have been extensively used for mapping structures in sedimentary sequences, especially as part of exploration programs for oil and gas. Two seismic reflection methods are widely used: singlechannel and multichannel seismic profiling systems. Although the former typically used an analogue recording system with a single receiver, digital recording is now commonly employed. The single-channel method is often employed during shallow reconnaissance exploration or in offshore engineering surveys because it is relatively cheap. But this advantage of the single-channel system is countered by the fact that the maximum depth of penetration of the single-channel system is rather shallow, and it usually does not give information on the deep geological structure or on the seismic velocity of the sedimentary layers. The multichannel method is characterized by digital recording and multiple receivers in a long multichannel streamer cable. Most marine seismic reflection profiling has now shifted from analogue recording of singlechannel data to digital recording of multichannel data, largely because digital recording and processing of large amounts of data improve the signal-to-noise ratio and provide high-quality seismic records. A data acquisition system for reflection profiling consists of three basic subsystems: the energy source, the receiving unit, and the digital recording system.
Conference papers on the topic "Geological surveys Data processing Oman"
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Retailleau, M., R. El Asrag, and J. Shorter. "Processing Land Broadband Data: Challenges that Oman Surveys Present and How they are Addressed." In EAGE/SPG Workshop on Broadband Seismic. Netherlands: EAGE Publications BV, 2014. http://dx.doi.org/10.3997/2214-4609.20141699.
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Nedimović, Mladen R., and Gordon F. West. "Processing seismic reflection data from high fold, crooked line surveys in crystalline geological terrain." In SEG Technical Program Expanded Abstracts 1999. Society of Exploration Geophysicists, 1999. http://dx.doi.org/10.1190/1.1820787.
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Theodossiou, S., and N. Singh Rainu. "Digital Initiatives, Infrastructures and Data Ecosystems in the Maritime Sector." In International Conference on Marine Engineering and Technology Oman. London: IMarEST, 2019. http://dx.doi.org/10.24868/icmet.oman.2019.017.
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Efficiency, performance and monitoring of vessels becomes of paramount importance around the globe. Assets security, vessels efficiency, new directives and legislation with regard to emissions quality and many others, urge the global maritime industry to take the right initiatives and make the appropriate investments to develop data ecosystems, that over time, if used intelligently, coherently and consistently, will allow owners and managers to reap tangible benefits such as, among others, significant cost savings, better vessel management and longer vessel life span. As of today, most shipowners and related stakeholders face huge challenges when it comes to data collection, processing, streaming, sharing and storage. Relevant data, if any, is isolated in distinct silos, in spurious and inconsistent formats with little or non-existent interconnectivity between such silos or storage mechanisms. In effect, to face the new challenging landscape, a fresh mindset and an open-minded approach is required. The paper uses data and relevant building blocks, related to vessel performance, assets tracking, route planning, engine monitoring, fuel consumptions, emissions quality, vessels tracking, performance alarms and notifications; that is a wide variety of data modules and reporting tools, that eventually serve pure reporting, real-time monitoring and visualization objectives; but also some additional, more powerful modules being used for analytics and strategic decision making. Such modules can leverage on historical data being captured over prolonged time periods, in the various interrelated data sources and by the relevant data collectors and, if deployed effectively, to construct supervised, unsupervised or even semi-supervised machine learning models. Eventually, such models will enable the various stakeholders in this domain, to achieve successful assignments related to predictions, regressions, classification and clustering. In effect, apart from pure vessel geolocation tracking capabilities, the above modules and tools will allow any shipowner to log-in and see how, a specific vessel under consideration does, in terms of performance and efficiency, in specific weather, geological and regional conditions. In addition to that, more advanced modules, for instance, might warn ship owners about the benefits of a potential hull maintenance or cleaning, give insights on engine efficiency and recommend actions or even provide indications or predictions of future likely delays in reaching at the port of destination. Among other things, this data collection and storage, in such a digitalization platform (will) allows the ongoing building-up of insights, knowledge and technical expertise associated to (optimized) vessels performance and all related functionalities as stated elsewhere. As the variety, veracity, volume and quality of the collected data, across the board, will be gradually enriched, enhanced and improved over time, allowing relevant stakeholders to gain real benefits, such as potentially reduced costs triggered by better and proactive vessels management, from such initiatives that might look and sound meaningless at the very beginning. The Paper builds upon the empirical evidence and relevant data associated to Tototheo Maritime’s, Digital Control Room and its associated Maritime Digitalization Platform that do provide, not only a state-of-the-art platform that facilitates visualization and snap-shot reporting functionalities but also modules upon which machine
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Abu Alsaud, Sara, Klemens Katterbauer, Abdulaziz Alqasim, and Alberto Marsala. "A Decision Tree Framework for Tracking CO2 Fronts in Carbonate Reservoirs from Deep Measurements Data." In International Petroleum Technology Conference. IPTC, 2022. http://dx.doi.org/10.2523/iptc-22394-ms.
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Abstract One of the main challenges in tracking CO2 fronts in carbonate reservoirs is the geological and petrophysical heterogeneity and complexity. This obstacle led to uncertainties in the decision-making and tracking processes. In current practices, empirical petrophysical formulas are utilized to model CO2 fronts in carbonate formations. These formulas has shown tremendous results and advancements in addressing such complexity and they are the stepping-stone to petrophysical modeling. However, the challenge is continuously augmented as the data grow. We present an innovative artificial intelligence framework to estimate CO2 fronts in carbonate reservoirs based on deep measurement data such as electromagnetics surveys and acoustic impedance, together with porosity profiles. The framework processes the deep data and then sets it as training data. Afterward, the framework uses a decision tree model, specifically a regression tree, to estimate the CO2 saturation front map based on the training data. The framework tests four types of regression trees in which each tree has a different minimum leaf size. The framework was tested on synthetic deep measurement data such as electromagnetic surveys, acoustic impedance, and porosity profiles. Expert processing was also included in the processing stage to remove illogical measurements in the training data. The proposed artificial intelligence framework is applied to the training data set. The decision tree framework produces four types of regression trees with different minimum leaf sizes. These different trees are classified as ultra-fine, fine, medium, and coarse. Overall, all regression trees showed a high resemblance to the original CO2 front. However, the tree with the smallest minimum leaf size, which is the ultra-fine tree, has the highest accuracy and certainty. As for the computational time, the coarse tree is considered to be the fastest. This framework represents an innovative approach to track CO2 fronts by combining deep measurement data such as electromagnetic surveys, acoustic impedance, and porosity profiles with an artificial intelligence framework. Also, the framework is aimed to improve inter-well saturation mapping for CO2 sequestration application. The approach is data-driven, and it takes into account the existing data-scarce petrophysical model challenges.
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Son, Jungrak, Rebecca Boon, and Julien Kuhn de Chizelle. "Seismic Attributes and Acoustic Inversion for Shallow Marine Slope Stratigraphy Analysis." In Offshore Technology Conference. OTC, 2021. http://dx.doi.org/10.4043/31102-ms.
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Abstract Geophysical seismic surveys have been used in marine site characterization for subsea engineering and the design of offshore structures. Signal processing plays a key role in obtaining seismic attributes from observed seismic data to identify subsurface geological features within complex shallow sediments. Instantaneous amplitude, phase, and frequency are the most widely used seismic attributes to indicate geological features, but those time-domain data are too limited to define an accurate subsurface model in depth. Therefore, seismic inversion is also required to generate additional geospatial subsurface model information to aid in shallow stratigraphy interpretation. In this paper, we applied both geophysical signal processing and stochastic seismic inversion to a high-resolution multichannel seismic dataset from the Eastern North American Margin (ENAM). Seismic attributes from the Hilbert transform and inversion modeling results (acoustic impedance and modeling uncertainty) were integrated to define better geological horizons and discontinuities. The results show the integrated geophysical subsurface models can support seismic interpretation and improve shallow marine site characterization.
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Grigoriev, Gleb, Vladimir Gulin, Alexei Nikitin, Nikita Sivoy, Eugene Bondarev, Marat Islamuratov, Oksana Zakharova, Igor Karpov, Evgenii Liubimov, and Vladislav Votsalevskiy. "Integrated Droneborne Geophysics Application as a Tool for Exploration Optimization. Case Studies." In SPE Annual Technical Conference and Exhibition. SPE, 2021. http://dx.doi.org/10.2118/206250-ms.
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Abstract Unmanned aerial vehicles (UAV) have a great potential for geological exploration optimization at all stages. This study considers UAV implementation at different exploration stage. Integrated approach using unmanned aerial systems shows great effectiveness based on the completed surveys. Low-depth electrical exploration using the shallow electrical exploration method is one of the possible UAVs technologies with great potential. In this study there are several cases describing main field data acquisition, models and cross-sections processing. Unmanned aerial systems are applicable at all stages of the oil and gas value chain and are already an integral part of oil&gas production process. Now there are more than 70 unmanned aerial systems application scenarios. The main advantages of drones are that the use of this operational data collection tool allows: – to reduce the duration of collecting geospatial data by 70%, and the cost by 3 times; – make the best decisions quickly; – to realize additional potential for increasing efficiency (application at all stages of the production chain) – increase the production processes safety level The most promising and actively developing areas of technology application are: Geophysical surveys at different stages of geological exploration. Drones have great potential for application in non-seismic exploration methods in the early stages of geological exploration. In addition, UAV surveys are suitable for planning geological exploration and working out the conceptual arrangement of the terrain. The presence of an accurate digital elevation model at the start of work of the project team makes it possible to remove a number of uncertainties and questions about conducting field work on seismic exploration, the placement of infrastructure and corridor communications. Objective control of the capital construction progress. Another important area of drones application is aerial photography at all stages of capital construction. With the help of UAVs, it is possible to control such parameters as the status and quality of construction and installation works, equipment of contractors, compliance with safety and environmental standards, and others. To do this, the unmanned vehicle flies around the object with a given regularity, filming it from different angles. After aerial photography, special software stitches the results into photogrammetric products (digital terrain model, orthophotomaps, 3D models) with an accuracy of 4–6 centimeters. On the constructed models, you can calculate the dynamics by one or another parameter. Operational fieldwork and intrastructure monitoring. At the same time, one of the key goals of technology application is the creation of a network of autonomous stations with drones at all assets for remote control of the company's production processes. The first step in this direction was the joint pilot testing of an automated take-off and landing station with an unmanned aerial vehicle of a multi-rotor type. The use of the station will reduce the time and cost of collecting data on capital construction and infrastructure. Project teams will be able to react faster to changes. An automated take-off and landing station allows the use of unmanned aerial vehicles without human intervention. The drone can independently take off, perform the necessary operations, land and recharge. Thus, flight operations and data collection can be performed remotely without the constant presence of a specialist on site.
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Husein, Nadir, Evgeny Malyavko, Igor Novikov, Albina Drobot, Anton Buyanov, Ekaterina Potapova, and Vishwajit Upadhye. "Recovery Improvement Using Geological, Technical and Operational Factors of Field Development That Influence the Character of Inflow Profiles in Horizontal Laterals." In SPE Middle East Oil & Gas Show and Conference. SPE, 2021. http://dx.doi.org/10.2118/204798-ms.
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Abstract Currently, it is hard to imagine oil field development management without various surveys, involving resource optimisation for more economical reserves recovery. In this context, the application of new technologies aimed at diagnostics of the state of producing wells opens up multiple opportunities to identify the causes of premature water flooding and reduction in oil production, clarify the geology of the developed deposit, and obtain other useful information in a cost-efficient manner. For several decades now, well logging has been the source of information for field operators on the producing reservoir performance and the composition of fluid flowing across the reservoir through target intervals. However, in the course of time, the industry tends to seek advanced technologies and alternative production logging techniques for well performance diagnostics. Marker-based production logging is just one of the techniques employed to obtain additional data that can be extremely important for prompt decision-making in case of any complicating factors. At the same time, such information requires proper processing and interpretation. The information on how various factors impact the production profile helps develop a set of measures to adjust the oil flow into the well. In this regard, the task above offers a promising outlook for improving the development system efficiency using selective reservoir stimulation, as far as unconventional reservoirs and hard-to-recover reserves are concerned. Therefore, the upstream industry puts a strong focus on further research in this area today.
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Gadylshin, Kirill Gennadievich, Vladimir Albertovich Cheverda, and Danila Nikolaevich Tverdokhlebov. "Reconstruction of the Near-Surface Velocities with Trap Bodies by the Full Waveform Inversion." In SPE Russian Petroleum Technology Conference. SPE, 2021. http://dx.doi.org/10.2118/206594-ms.
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Abstract Seismic surveys in the vast territory of Eastern Siberia are carried out in seismic and geological conditions of varying complexity. Obtaining a high-quality dynamic seismic image for the work area is a priority task in the states of contrasting heterogeneities of the near-surface. For this, it is necessary to restore an effective depth-velocity model that provides compensation for velocity anomalies and calculates static corrections. However, for the most complex near-surface structure, for example, the presence of trap intrusions and tuffaceous formations, the information content of the velocity models of the near-surface area obtained based on tomographic refinement turns out to be insufficient, and a search for another solution is required. The paper considers an approach based on Full Waveform Inversion (FWI). As the authors showed earlier, multiples associated with the free surface reduce the resolution of this approach. But their use increases the stability of the solution in the presence of uncorrelated noise. Therefore, at the first stage of FWI, the full wavefield is used, including free surface-related multiples, but they are suppressed in the next steps of the data processing. The results obtained demonstrate the ability of the FWI to restore complex geological structures of the near-surface area, even in the presence of high-velocity anomalies (trap intrusions).
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Salguero, Gualberto Chiriboga. "Geotechnical Management in OCP Pipeline." In 2012 9th International Pipeline Conference. American Society of Mechanical Engineers, 2012. http://dx.doi.org/10.1115/ipc2012-90154.
Full textAbstract:
Landslides are one of the main threats in maintaining pipeline integrity and depend directly on natural geological and geotechnical conditions. External factors such as weather, rainfall, and others, can trigger land movements and displace the pipeline. The Ecuadorian OCP (Heavy Crude Oil Pipeline) is a buried pipeline going in an East to West direction, crossing 485 kilometers of the Ecuadorian territory. It starts in the Amazon Region (approximately 300 meters above sea level), and then climbs the Andes Mountains (4060 meters above sea level in its tallest portion), to then descend to the shores of the Pacific Ocean. The OCP pipeline crosses many regions with varying climates, varying rainfall patterns, variable morphologies, diversity of soils, and areas affected by tectonic faults, among others. In order to prevent pipeline failures, OCP Ecuador has instituted programs to perform preventive and corrective actions in order to handle the following geological concerns: • Intervention of a specialized geotechnical team to identify and monitor critical points along the pipeline route. This team identifies unstable sites based on the observations of cracks, land movements, or other visual deformations of the pipeline route and its surroundings. • Upkeep of the preventive program. • Execution of third-level studies required to understand specific unstable zones in detail: nature of the subsoil, underground water level, geo-mechanic characteristics, stability factor, and stabilization works. • Geotechnical instrumentation used: inclinometers to search the spread of movement, shifting direction, speed, (landslide location); strain gauges for preventive control of pipeline strain, alert levels, efficiency of stabilization works; and topographic surveys to monitor superficial movements. • Data processing and mapping on GIS Software. • Annual over-flights to detect massive landslides. • Internal inspectors (online-ILI) providing a wide range of information: geometry measurements, curvature monitoring, pipeline displacement, etc. In addition, it allows detection of probable zones depicting soil movement. The purpose of this technical paper is to present the methodology applied by OCP Ecuador to prevent failure of the pipeline along its route.
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Pecci, Antonio. "Droni e fotogrammetria moderna per il rilievo dei castelli." In FORTMED2020 - Defensive Architecture of the Mediterranean. Valencia: Universitat Politàcnica de València, 2020. http://dx.doi.org/10.4995/fortmed2020.2020.11490.
Full textAbstract:
Drones and modern photogrammetry for castlesCastles, often built on hills with extremely steep slopes, or on sea cliffs overlooking stretches of water, were difficult to conquer. Construction techniques and geomorphology of the area were a key factor in making castles impregnable to sieges of military troops or bands of pirates or robbers. Today, the same characteristics make them difficult to survey. In fact, there are huge difficulties in surveying fortified structures on the top of hills or on the edge of a precipice. Such geomorphological features sometimes make the survey difficult, time consuming and expensive and unsafe for operators. Today, these problems can be reduced through the use of drones and photogrammetric processing tools which are based on Structure from Motion algorythms and are easy to use. This method allows us to acquire data with geometric resolution in order to map and study masonry characteristics, as well as analyze and monitor decay and crack patterns for restoration purposes. In this paper, we will discuss the potential of drones and modern photogrammetry techniques in architectural surveys and applied to three case studies. These include the castle of Isabella Morra in Valsinni (Basilicata, South Italy), perched on a cliff; the medieval citadel of Uggiano in Ferrandina (Basilicata, South Italy) in an advanced state of degradation and on a plateau with high geological risk; and the San Fernando Fuerte to Bocochita (Cartagena de Indias, Colombia) overlooking the sea.