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Статті в журналах з теми "Artificial islands Weight"

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MATTHEWS, PETER C., DAVID W. F. STANDINGFORD, CARREN M. E. HOLDEN, and KEN M. WALLACE. "Learning inexpensive parametric design models using an augmented genetic programming technique." Artificial Intelligence for Engineering Design, Analysis and Manufacturing 20, no. 1 (February 2006): 1–18. http://dx.doi.org/10.1017/s089006040606001x.

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Анотація:
Previous applications of genetic programming (GP) have been restricted to searching for algebraic approximations mapping the design parameters (e.g., geometrical parameters) to a single design objective (e.g., weight). In addition, these algebraic expressions tend to be highly complex. By adding a simple extension to the GP technique, a powerful design data analysis tool is developed. This paper significantly extends the analysis capabilities of GP by searching for multiple simple models within a single population by splitting the population into multiple islands according to the design variables used by individual members. Where members from different islands “cooperate,” simple design models can be extracted from this cooperation. This relatively simple extension to GP is shown to have powerful implications to extracting design models that can be readily interpreted and exploited by human designers. The full analysis method, GP heuristics extraction method, is described and illustrated by means of a design case study.
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PERUMAL, P., JAI SUNDER, P. C. MISHRA, and A. K. DE. "Seasonal effect on physiological and haematological profiles, scrotal circumference and testicular parameters in indigenous goat bucks under tropical humid island ecosystem." Indian Journal of Animal Sciences 92, no. 5 (February 22, 2022): 604–10. http://dx.doi.org/10.56093/ijans.v92i5.118435.

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Andaman local goat (ALG) is meat animal in Andaman and Nicobar islands (ANI) of India. Present study was conducted to measure the seasonal effect on physiological and haematological profiles, scrotal circumference (SC) and testicular weight during rainy and dry summer seasons in ALG. A total of 10 adult intact ALG bucks (body condition score: 3.0-3.5 and classified as good; 3-4 years) were selected from the goat breeding farm, ICAR-CIARI, Port Blair, ANI, India. Results revealed that these experimental profiles differed significantly (p < 0.05) between the seasons. Significantly (p < 0.05) higher haematological profiles, SC and testicular weight were observed in rainy season than in dry summer season whereas physiological profiles such as rectal, skin and scrotal temperatures were higher in dry summer than in wet rainy season. The study concluded that the rainy season has significantly greater beneficial effects than dry summer season on reproduction and artificial breeding programmes in semi-intensive management of goat in the present location.
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He, Zhaoshuang, Yanhua Chen, and Jian Xu. "A Combined Model Based on the Social Cognitive Optimization Algorithm for Wind Speed Forecasting." Processes 10, no. 4 (March 31, 2022): 689. http://dx.doi.org/10.3390/pr10040689.

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The use of wind power generation can reduce the pollution in the environment and solve the problem of power shortages on offshore islands, grasslands, pastoral areas, mountain areas, and highlands. Wind speed forecasting plays a significant role in wind farms. It can improve economic and social benefits and make an operation schedule for wind turbines on large wind farms. This paper proposes a combined model based on the existing artificial neural network algorithms for wind speed forecasting at different heights. We first use the wavelet threshold method with the original wind speed dataset for noise reduction. After that, the three artificial neural networks, extreme learning machine (ELM), Elman neural network, and Long Short-term Memory (LSTM) neural network, are applied for wind speed forecasting. In addition, the variance reciprocal method and social cognitive optimization (SCO) algorithm are used to optimize the weight coefficients of the combined model. In order to evaluate the forecasting performance of the combined model, we select wind speed data at three heights (20 m, 50 m and 80 m) at the National Wind Technology Center M2 Tower. The experimental results show that the forecasting performance of the combined model is better than the single model, and it has a good forecasting performance for the wind speed at different heights.
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Ayres, J. R., J. Awad, H. Burger, J. Marzouk, and J. van Leeuwen. "Investigation of the potential of buffalo and couch grasses to grow on AFIs and for removal of nutrients from paper mill wastewater." Water Science and Technology 79, no. 4 (February 15, 2019): 779–88. http://dx.doi.org/10.2166/wst.2019.098.

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Abstract The potential growth of buffalo grass (Stenotaphrum secundatum) and couch grass (Cynodon dactylon) on artificial floating islands (AFIs) and their ability to remove total nitrogen (TN) and total phosphorus (TP) from a simulated paper mill wastewater was studied. This was done to assess the potential of AFIs for removal of nutrients from aerated stabilization basins (ASBs) that had occasional growth of blue-green algae (BGA) to bloom levels. Small scale AFIs were prepared using polyethylene foam and planted with the grasses in 30 L of tested water. Trials were conducted in a plastic covered greenhouse over a three-month period where temperatures ranged from 15 to 44 °C. The results showed that both buffalo and couch grasses can adapt to planting in AFIs showing increases of 125% and 148% in wet weight, respectively. Nutrient uptake by buffalo grass and couch grass were found to be similar. Percentage uptakes of TP and TN from the synthetic water by the buffalo grass were 82% and 47%, whereas by couch grass, uptakes were 83% and 45%, respectively.
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JALILI, A., M. LÓPEZ-PÉREZ, L. KARLSSON, F. HERNÁNDEZ, C. RUBIO, J. HERNÁNDEZ-ARMAS, and A. HARDISSON. "Radiometric Analysis of Farmed Fish (Sea Bass, Gilthead Bream, and Rainbow Trout) from Tenerife Island, Spain." Journal of Food Protection 72, no. 9 (September 1, 2009): 1941–47. http://dx.doi.org/10.4315/0362-028x-72.9.1941.

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Анотація:
This study analyzed the content of gamma-emitting radionuclides in fish farmed on the island of Tenerife (Canary Islands, Spain). The fish species included in this study were sea bass, gilthead bream, and rainbow trout. The first two species are produced in offshore enclosures, while the third is produced in a freshwater fish farm. All measurements were performed using two high-purity germanium gamma-ray detectors. The content of gamma-emitting radionuclides in the fodder used to feed the different species of farmed fish studied was also determined. The following nuclides were often detected in the analyzed samples: 137Cs, 40K, 235U, 228Ac, 214Bi, 208Tl, 212Pb, and 214Pb. As a complement to this analysis, 210Po concentrations in two fish samples were determined by alpha spectrometry. The nuclide presenting the highest concentration was, as expected, the naturally occurring 40K, with an average concentration of 0.13 ± 0.01 Bq/g (wet weight) (Bq/gww) in gilthead bream and sea bass and 0.12 ± 0.01 Bq/gww in rainbow trout. The 235U concentrations determined in the same fish species were 0.6 ± 0.5, 0.8 ± 0.7, and 1.6 ± 1.0 mBq/gww, respectively. This nuclide is seldom reported in fish samples. The concentrations of 137Cs (the only artificial nuclide determined in this study) in gilthead bream and sea bass were 0.026 ± 0.006 and 0.044 ± 0.01 mBq/gww, respectively. In addition to the radiometric analysis, the contribution of the analyzed nuclides to the effective dose from the mean daily intake of the fish was calculated. The calculated contribution, in terms of dose per person, produced by intake of the analyzed fish was 0.8 μSv/year. This value does not represent a significant risk to the local population.
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Widiyati, Ani, Adang Saputra, and Eri Setiadi. "PRODUCTION PERFORMANCE AND BLOOD PROFILE OF CLIMBING PERCH Anabas testudineus Bloch CULTURED IN PEAT POND WITH DIFFERENT STOCKING DENSITIES." Indonesian Aquaculture Journal 14, no. 2 (December 13, 2019): 83. http://dx.doi.org/10.15578/iaj.14.2.2019.83-89.

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Climbing perch is one of economically-valued local fish in Indonesia, particularly in Borneo, Sumatra, and Java Islands. The fish has the potential to be developed as freshwater aquaculture species. The purpose of this experiment was to evaluate the production performance and blood profile of climbing perch cultured in peat pond with different stocking densities. The research was conducted in Kereng Bangkiray Village, Sebangau District, Palangkaraya City, Central of Borneo. Nine fish ponds sized 5.0 m x 5.0 m x 1.5 m were used. Nets with a mesh size of 1 cm measuring 2.0 m x 1.5 m x 1.0 m was installed in each fish pond for the experiment. The treatment consisted of different stocking densities, namely 15 fish/m2, 30 fish/m2, and 45 fish/m2. Fish with the body weight of 20 ± 1.25 g were used. Fish were cultured for four months. An artificial diet containing 30% protein was given with a feeding rate of 5%. The experiment was designed in a complete randomized design. The result showed that the production performances (i.e. survival, specific growth rate, absolute weight, and biomass) were significantly higher at the densities of 15 and 30 fish/m2 than that of 45 fish/m2 (P<0.05). Blood profile such as glucose, erythrocyte, leucocyte, and hemoglobin were higher at the density of 45 fish/m2 except for hematocrit which was higher at the densities of 30 and 15 fish/m2. Water quality parameters such as dissolved oxygen, nitrite, nitrate, and ammonia at the densities of 15 and 30 fish/m2 showed better values than that of 45 fish/m2 stocking density. To optimize the productivity and maintain the optimum water quality condition, the optimal stocking density for climbing perch culture is suggested at 30 fish/m2.
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Carpenter, Chris. "Drilling Dynamics, Mechanical Specific Energy Data Help Drill Record Extended-Reach Well." Journal of Petroleum Technology 73, no. 05 (May 1, 2021): 59–60. http://dx.doi.org/10.2118/0521-0059-jpt.

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Анотація:
This article, written by JPT Technology Editor Chris Carpenter, contains highlights of paper SPE 203335, “Using MSE and Downhole Drilling Dynamics in Achieving a Record Extended-Reach Well Offshore Abu Dhabi,” by Nashat Abbas and Jamal Al Nokhatha, ADNOC, and Luis Salgado, Halliburton, et al., prepared for the 2020 Abu Dhabi International Petroleum Exhibition and Conference, Abu Dhabi, held virtually 9–12 November. The paper has not been peer reviewed. Complex extended-reach-drilling (ERD) wells often present challenges with regard to geological aspects of data requirement and transmittal, reactive geosteering response times, and accuracy of well placement. Such scenarios may require innovative approaches in Middle East carbonate reservoirs. The objective of the complete paper is to illustrate that, by assessing the details of reservoir geology and key operational markers relevant for best practices, drilling approaches can be customized for each reservoir or scenario. Reservoir Background and Geology The planned reservoir section is a single horizontal of approximately 25,000-ft lateral length at a spacing of 250 m from adjacent injectors. The well was drilled from an artificial island. Field A, a shallow-water oil field, is the second-largest offshore field and the fourth-largest field in the world. Horizontal drilling was introduced in 1989, and an extensive drilling campaign has been implemented since then using steerable drilling technologies. This study is concerned only with wells drilled to develop Reservoir B in Field A, which contributes to the main part of initial oil in place and production. The thick limestone reservoir is subdivided into six porous layers, labeled from shallow to deep as A, B, C, D, E, and F. Each porous layer is separated by thin, low-porosity stylolites. The reservoir sublayer B, consisting of approximately 18-ft-thick calcareous limestones, was selected as the target zone for the 25,420-ft horizontal section. ERD, constructed on artificial islands, began on 2014 with a measured depth (MD)/true vertical depth (TVD) ratio approaching 2.2:1 or 2.4:1. A recent ERD well, Well A, was drilled at the beginning of 2020 with a MD/TVD ratio of 5:1. This value is a clear indication of progressively increasing challenges since the start of the project. Mechanical specific energy (MSE) has long been used to evaluate and enhance the rate of penetration (ROP); however, its use as an optimization tool in ERD wells has not been equally significant. This may have been mostly because of historical use of surface-measured parameters, which do not necessarily indicate the energy required to destroy the rock, particularly in ERD wells. Using optimization tools as part of the bottomhole assembly (BHA) downhole close to the bit provides actual weight-on-bit (WOB) and torque-on-bit (TOB) applied to the drilling bit to destroy the rock and, thus, results in more-representative MSE measurements to optimize drilling parameters and ROP in ERD wells.
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Lockhart, W. L., D. A. Metner, D. A. J. Murray, and D. C. G. Muir. "Hydrocarbons and Complaints About Fish Quality in the Mackenzie River, Northwest Territories, Canada." Water Quality Research Journal 22, no. 4 (November 1, 1987): 616–28. http://dx.doi.org/10.2166/wqrj.1987.050.

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Abstract The Mackenzie River in northwestern Canada is the largest North American source of freshwater to the Arctic Ocean There are continuous discharges of petroleum into the river from an oil field at Norman Wells both from refinery and natural seepage sources. Recently oil production was expanded using several artificial islands constructed in the river Coincident with the expansion native DENE fishermen in downstream communities complained that the quality of fish deteriorated. Specifically, the liver of burbot (Lota lota) was reported to have become small and dark in colour, and our investigation of that complaint is the subject of this report. Examination of the burbot revealed that the liver condition was associated with a low content of fat The question posed was whether this quality problem could be related to petroleum inputs from Norman Wells. Residue analyses of the fish showed low, but consistent, contamination with low-boiling aromatic hydrocarbons, with fish taken in winter more highly contaminated than fish taken in summer. The low levels in summer fish were found in fish from many freshwater locations with no obvious connection to a petroleum source This may reflect a broad atmospheric dispersal of these materials. Burbot from the lower Mackenzie River did not have elevated liver mixed-function oxidase enzyme activities relative to a reference population from Lake Winnipeg Experimental treatments with oil induced these enzyme activities, and so fish seem unlikely to have been affected by the enzyme inducing components of petroleum. Experimental starvation of burbot in the laboratory resulted in a loss of liver fats and in development of apparently the same liver condition The condition of the fish seems more likely to be of natural origin through factors related to nutrition or parasitism, although pollution cannot be ruled out definitively. Unexpectedly high concentrations of toxaphene (up to 5000 ng/g wet weight) and other organochlorines were found in burbot livers
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Ge, Longzai, Hanbao Chen, Songgui Chen, and Haiyuan Liu. "Experimental Study on Wave Current Characteristics and Stability of the Junction of Artificial Island and Subsea Tunnel." Journal of Marine Science and Engineering 10, no. 10 (October 18, 2022): 1525. http://dx.doi.org/10.3390/jmse10101525.

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In order to ensure the safety and reliability of the submerged tunnel covering layer at the junction of an artificial island and tunnel under extremely bad conditions, the wave current characteristics and the stability of the protective structure in the variable slope section were studied. By conducting model tests, the coupling effect of wave and current is revealed in this study. The hydrodynamic field, including the varying angles between waves and currents, is simulated in the model test. The ratio (Hs'/Hs) of the wave height and the ratio (U'/U) of the velocity with and without the existence of a current, the relative velocity (U/C), the wave steepness (Hs/L), the relative water depth (d/L) and the angle (α) between wave and current are obtained, and the corresponding calculation expression is derived, by checking the test results, the empirical formula can better predict the changes of wave height and water flow after wave current coupling. The stable weight of the surface protection rock is obtained through an optimization test. Based on the relationship between the stable weight of the protection rock and the wave height under the wavecurrent coupling effect, a modified expression for calculating the stable weight of the armor block is derived. The modified calculation method can support estimating the stable weight of the armor rocks of an overburden structure of a similar immersed tunnel under the wave–current coupling effect. This study can not only solve the practical problems of major projects of the Shenzhen–Zhongshan channel but also provide valuable basic data and technical support for the construction of overburden of subsea-immersed tube tunnels in the future.
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Elnikov, A. N., and O. V. Zelennikov. "Sockeye salmon of Iturup Island: characteristics of spawners from commercial catches in 2021." Izvestiya TINRO 202, no. 2 (June 29, 2022): 343–50. http://dx.doi.org/10.26428/1606-9919-2022-202-343-350.

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Анотація:
Spawners of sockeye salmon caught in northern Iturup and in the Prostor Bay and Kurilsky Bay in July-August, 2021 are investigated. Almost all of them had the age 1.2+ or 1.3+, with prominent prevalence of the former both for females (88.9 %) and males (80.0 %); other age groups had symbolic representation. Older individuals of both sexes were significantly larger. The sockeye of Iturup Island spend only 2 years in the sea, so both females and males are smaller by weight than the producers of other sockeye herds in the Russian Far East. The short puberty is supposedly favorable for formation of relatively abundant stock of artificial reproduction by the sockeye of Iturup Island.
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Дисертації з теми "Artificial islands Weight"

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Oliveira, Miguel Tiago Cantiga Lopes de. "The role of artificial reefs to promote biodiversity and sustainability of the ecotourism in Cape Verde: ecological, biological and management aspects." Doctoral thesis, 2016. http://hdl.handle.net/10400.1/8996.

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Tese de doutoramento, Ciências do Mar, da Terra e do Ambiente, Faculdade de Ciências e Tecnologia, Universidade do Algarve, 2016
This multidisciplinary study aimed to assess the impact of artificial reefs (ARs) deployment off Santa Maria (Sal Island), to promote biodiversity and sustainability of the ecotourism in Cape Verde.
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Тези доповідей конференцій з теми "Artificial islands Weight"

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Alvarado, Romulo Francisco Bermudez, Abdelkerim Doutoum Mahamat Habib, Jamie Scott Duguid, Manish Srivastava, Ruben A. Medina, Michelle Rocha, Kresimir Vican, and Venkataraman Jambunathan. "Value of Cement Bond Logs for Evaluation and Improvement of Cementing Practices in Extended Reach Drilling ERD Wells." In Abu Dhabi International Petroleum Exhibition & Conference. SPE, 2021. http://dx.doi.org/10.2118/208115-ms.

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Abstract This paper discusses the value of cement logs as the core input to analyze the cement quality and validate the improvements made to cementing designs and practices of the intermediate casing string in Extended-Reach Drilling (ERD) wells. The ERD wells are being drilled from artificial islands in a field offshore in the UAE. The primary cementing objectives are isolating the reservoirs from their sublayers and protecting the casing against possible future corrosion across an upper formation. Cementing challenges include higher angle deviation, higher mud weight requirements resulting from an anisotropic, unstable shale formation present above the reservoir section. Effective reservoir management requires sound zonal isolation to eliminate crossflow between different reservoir units. In combination with standard cement bond logs (CBL), ultrasonic technology has provided detailed information about cement quality and a qualitative indication of casing position in the borehole. These have also led to valuable insight into how continued cementing designs and practices improved zonal isolation. Improvements in cement quality seen as a result of enhanced casing centralization, optimized hydraulic model, modified cement rheology, displacement rate impact, among others, were confirmed with the cement log evaluation program. The paper will present the ultrasonic and standard CBL responses, which support the enhancements made to the cementing design and practices that yield the desired results. The cement quality has been improved in the ERD wells intermediate section through strategic modification in cementing practices. Cement evaluation logs have played a significant role in validating the cementing methods’ development. Consistently improved zonal isolation results have opened up the opportunity for future efficiency gains by eliminating routine CBL.
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Ajibola, Olabode, James Sheng, Phillip McElroy, Christopher Armistead, James Rutley, and John Smitherman. "Reservoir Pressure Gradient Trend Prediction for the Potash Area of Delaware Basin Using Artificial Neural Network and Geophysical Log Cross Sections." In SPE Annual Technical Conference and Exhibition. SPE, 2022. http://dx.doi.org/10.2118/210031-ms.

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Abstract Historically, there has been controversies between the oil & gas companies and potash miners in the Secretarial Order Potash Area (SOPA) of Delaware basin. Mostly, these disputes are based on high pressure related operational failures in the area. To reduce these operational anxieties, it is vital to calculate the reservoir pressures, verify the pressures with machine learning predictions, and use the verified pressures to build pressure trend profiles using geophysical log cross-sections. To fulfil the above-mentioned objectives, the methodology used in the process starts with the calculation of reservoir pressures for the area using drilling data. The calculated pressures are then verified with Artificial Neural Network (ANN) machine learning model predictions utilizing well logs and drilling parameters. The verified reservoir pressures are then used to build pressure trend profiles using geophysical log cross-sections. Parameters used in building the ANN include deep, medium, & shallow laterolog resistivity logs, gamma ray log, neutron & density porosity logs, calculated overburden stress, cable tension log, well, caliper log, depth, lithology, mud weight, photoelectric cross-section log, calculated average porosity, calculated water saturation, corrected bulk density log, and bulk density log. Potash is mined in a limited area in the southeast portion of the state of New Mexico. This "potash area" has been afforded special status through the Department of the Interior through several Orders authored by the then Secretary of the Interior. In this work, this "potash area" will be known as the Secretarial Order Potash Area or SOPA. The reservoir pressure gradients were calculated according to the hydrostatic gradients of over 229 selected wells drilled and completed within the SOPA. The ANN model was built using 3 steps including data manipulation, analysis, and deployment. The reservoir pressures were predicted by the Artificial Neural Network (ANN) with high accuracy. The correlation coefficient, R for the training, validation, and testing are 0.978, 0.985, and 0.976, respectively. The Mean Square Error (MSE) was 2.9129 after 136 epochs optimum number of iterations. The overall correlation coefficient (R) is greater than 0.979. These results show that ANN models predicted the measured reservoir pressures accurately for the potash area. Next, the geophysical log cross-sections were created in 2-Dimensional and 3-Dimensional profiles with the verified reservoir pressures using Petra, Matlab, IHS Kingdom, and R machine language. Three west to east cross-sections were created for the three portions of the area namely Back-reef, Reef, and Basin separately. The fourth cross-section was created from the North (Back-Reef) to the South (Basin) through the Reef. The cross sections are displayed showing formation strata, depths, and pressure trends. The information gained from this study will be used to optimize the economic recovery of oil and gas and potash resources from this area which is rewarding to the American Public. It will also promote the safety of underground mining and reduce surface environmental impacts to specific Drilling Islands within the designated development areas. This will bring about safely concurrent development of both resources unachievable without the machine learning model applied in this study.
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