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Carbon capture and sequestration is the process of capturing carbon dioxide (CO2) from refineries, industrial facilities, and major point sources such as power plants and storing the CO2 in subsurface formations. Carbon capture and sequestration has the potential to generate an industry comparable to, if not greater than, the existing oil and …
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On a regional basis, shale oil and gas reserves in the United Arab Emirates are estimated at 22.6 billion barrels of oil and 5.8 trillion m 3 of gas (EIA, 2013). From, ... Artificial neural networks and support vector machines can be used efficiently for this method. Pattern recognition algorithms can be used as well.
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Lacustrine shale is characterized by rapid lithofacies transformation and compositional heterogeneity, which present challenges in shale oil sweet spot evaluation and distribution prediction and ...
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Request PDF | Characterization for Possible Utilization of Mae Sot Basin, Thailand Oil Shale | This is a petrologic and stratigraphic project that analyzed and evaluated the Mae Sot Basin oil ...
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Bakken Shale region with oil and gas wells (natural gas intelligence)¹⁷. …
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Oil production from shale reservoirs has increased dramatically in recent years. To identify drilling targets and optimize well completions, it is important to get …
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The intermontane Mae Sot basin, Thailand, contains carbonate-rich oil shales in which oil yield, mineralogy, and major and trace element geochemistry are related to the rock type. Higher grade oil shale is significantly enriched in silicate minerals (quartz, feldspars, clays, and analcite) relative to carbonates, and in dolomite relative to ...
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Oil shale is a type of sedimentary rock that is rich in kerogen. Kerogen is a part of rock that breaks down and releases hydrocarbons when heated. Hydrocarbons are substances made entirely of hydrogen and carbon. Petroleum and natural gas are probably the most familiar . hydrocarbons.The hydrocarbons in oil shale can be used as an …
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Shale oil has become a crucial unconventional resource, bolstering energy supply security, and it is important to accurately predict shale oil production dynamics. However, …
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This comprehensive review presents a holistic examination of oil shale as a significant energy resource, focusing on its global reserves, extraction technologies, chemical characteristics, economic considerations, and environmental implications. Oil shale, boasting reserves equivalent to approximately 6 trillion barrels of shale oil …
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The oil shale is then selectively mined (oil shale layers are extracted separately from the limestone). The extracted mineral is crushed and screened. The resulting technological shale oil with a grain size of 25-125 mm is used in the generator device, fine oil shale with a grain size of 0-25 mm is used in the solid heat carrier or sold to ...
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With the continuous improvement of shale oil and gas recovery technologies and achievements, a large amount of geological information and data have been accumulated for the description of shale reservoirs, and it has become possible to use machine learning methods for "sweet spots" prediction in shale oil and gas areas. …
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The study's novelty comes from developing an innovative machine learning (ML) (random forest (RF)) based model for fast rate-decline and EUR prediction in Bakken Shale oil wells.
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The various oil shale deposits that have been mined around the world since the early 20th century have ranged from shale to marlstone to carbonate mudstone.All are relatively fine-grained sedimentary rocks, as …
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In a similar study, the authors employed data-driven modeling for predicting the rate decline of Eagle Ford Shale oil wells 8. Another study proposed an ANN-based model for predicting the rate decline of Eagle ford Shale oil wells 9. The primary drawback of these studies was that their applicability was restricted only to Eagle for shale oil wells.
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Semantic Scholar extracted view of "Productivity control on oil shale formation—Mae Sot Basin, Thailand" by J. Curiale et al. Skip to search form Skip to main content Skip to account menu. Semantic Scholar's Logo. Search 220,351,483 papers from all fields of …
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Oil shale is a rock that contains significant amounts of organic material in the form of kerogen. Up to 1/3 of the rock can be solid organic material. Liquid and gaseous hydrocarbons can be extracted from the oil shale, but the rock must be heated and/or treated with solvents.
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Abstract. The continental shale oil reservoirs usually have strong heterogeneity, which make the law of fracture propagation extremely complex, and the quantitative characterization of fracture network swept volume brings great challenges. In this paper, firstly, the grey correlation analysis method is used to calculate the …
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in the Yanchang Formation. The Chang 7 member contains organic rich shale with an extensive distribution area, which is the main target of unconventional oil exploration (Bai & Ma, 2019; Fu et al., 2020). The oil in tight sandstones, siltstones and shales of the Chang 7 member are considered typical shale-oil resources. The data
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Thailand Oil and Gas Research. 17 comprehensive market analysis studies and industry reports on the Oil and Gas sector, offering an industry overview with historical data …
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As shale-oil operators adopt manufacturing models and mindsets to lower the costs of completions and production, they are deploying more and more digital technologies in diverse applications, many of which Siemens pioneered years ago. This paper offers a wide range of examples of how digitalization can drive more efficiency, visibili ty, and
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DOI: 10.1016/j.petrol.2022.110900 Corpus ID: 251236565; Shale oil production prediction and fracturing optimization based on machine learning @article{Lu2022ShaleOP, title={Shale oil production prediction and fracturing optimization based on machine learning}, author={Chunhua Lu and Hanqiao Jiang and Jinlong Yang and Zhiqiang …
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Finally, combining the results of the above two scales, machine learning is used to predict shale oil availability across the entire core. On the core scale, the watershed and maximum ball methods are used to extract the core pore network model, and it is found that square pores occupy the highest proportion among the three pore …
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1.. IntroductionThe prediction and evaluation of horizontal well production capacity is the key to the rational and effective development of shale oil reservoirs [1, 2].Shale reservoirs have poor physical properties and complex pore and throat structures, and the economic benefits of conventional straight well development are poor, and the multi-stage …
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Production Capacity Prediction Method of Shale Oil Based on Machine Learning Combination Model. Qin Qian 1, Mingjing Lu 1,2,*, Anhai Zhong 1, Feng Yang 1, Wenjun He 1, Min Li 1. 1 Petroleum Engineering Technology Research Institute of Shengli Oilfield, SINOPEC, Dongying, 257000, China 2 Postdoctoral Scientific Research Working Station …
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1. Introduction. With its burgeoning global prominence, shale oil has established itself as a pivotal unconventional energy reservoir, a status well recognized within the Chinese energy paradigm due to its substantial domestic reserves (Zou et al., 2013).The strategic and economic implications of exploring and harnessing shale oil within China are profound …
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Indico style; Indico style - inline minutes; Indico style - numbered; Indico style - numbered + minutes; Indico Weeks View
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In this paper, we propose a computational framework for shale oil production prediction and fracturing parameters optimization that couples machine learning and particle swarm optimization (PSO). Firstly, we construct a deep neural network (DNN) model database with 841 numerical simulation data as training set and validation set, …
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Researchers from both industry and academia have studied the tight oil resources intensively in the past decade since the successfully development of Bakken Shale and Eagle Ford Shale and made tremendous progress. It has been recognized that locating the sweet spots in the regionally pervasive plays is of utter significance. …
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