2023
DOI: 10.1016/s1876-3804(23)60420-3
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Practice and development suggestions of hydraulic fracturing technology in the Gulong shale oil reservoirs of Songliao Basin, NE China

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Cited by 23 publications
(11 citation statements)
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“…Yang et al proposed the construction and application of a comprehensive research digital platform for oil and gas exploration and development, which greatly improves the solving efficiency of artificial intelligence recognition. In recent years, the ensemble Kalman filter (EnKF), ensemble smooth multiple data assimilation (ESMDA), random gradient approximation algorithm, Markov process, and other non gradient methods for historical fitting have been widely applied. At the same time, breakthroughs in machine learning and deep learning have also brought new ideas to artificial intelligence recognition. Artificial intelligence uses the EnKF method to assist in automated history fitting, and by establishing a reservoir model, set the parameters that need to be fitted. Based on the EnKF method combined with production performance data, reservoir parameter inversion and reservoir simulation optimization are achieved, greatly improving the fitting accuracy. This method greatly reduces the workload of reservoir engineering personnel and simplifies the history fitting workflow. However, the upstream development of China’s petroleum industry still faces challenges…”
Section: Research Progress In Artificial Intelligence Technologymentioning
confidence: 99%
“…Yang et al proposed the construction and application of a comprehensive research digital platform for oil and gas exploration and development, which greatly improves the solving efficiency of artificial intelligence recognition. In recent years, the ensemble Kalman filter (EnKF), ensemble smooth multiple data assimilation (ESMDA), random gradient approximation algorithm, Markov process, and other non gradient methods for historical fitting have been widely applied. At the same time, breakthroughs in machine learning and deep learning have also brought new ideas to artificial intelligence recognition. Artificial intelligence uses the EnKF method to assist in automated history fitting, and by establishing a reservoir model, set the parameters that need to be fitted. Based on the EnKF method combined with production performance data, reservoir parameter inversion and reservoir simulation optimization are achieved, greatly improving the fitting accuracy. This method greatly reduces the workload of reservoir engineering personnel and simplifies the history fitting workflow. However, the upstream development of China’s petroleum industry still faces challenges…”
Section: Research Progress In Artificial Intelligence Technologymentioning
confidence: 99%
“…1−4 With the advancement of horizontal well drilling techniques and the progress in large-scale hydraulic fracturing technology, unconventional oil reservoirs such as shale oil formations have been successfully exploited. 5,6 Simultaneously, due to the abundant reserves of unconventional oil resources, the vigorous exploration and development of resources such as shale oil formations can substantially alleviate the energy crisis. 7−10 However, shale oil formations, as unconventional hydrocarbon reservoirs, exhibit significant differences in terms of occurrence and permeability characteristics compared to conventional hydrocarbon reservoirs.…”
Section: ■ Introductionmentioning
confidence: 99%
“…The increasing global energy demand necessitates a commensurate increase in crude oil production. Consequently, heightened emphasis is being placed on the exploration of enhanced oil recovery enhanced oil recovery (EOR) methods, drawing progressively escalating attention. With the advancement of horizontal well drilling techniques and the progress in large-scale hydraulic fracturing technology, unconventional oil reservoirs such as shale oil formations have been successfully exploited. , Simultaneously, due to the abundant reserves of unconventional oil resources, the vigorous exploration and development of resources such as shale oil formations can substantially alleviate the energy crisis. However, shale oil formations, as unconventional hydrocarbon reservoirs, exhibit significant differences in terms of occurrence and permeability characteristics compared to conventional hydrocarbon reservoirs. The reservoir rock properties of shale oil formations are notably inferior, with the predominant storage space consisting of a nanoscale pore–fracture system . The flow behavior of oil within these nanoscale pores differs distinctly from the flow patterns observed within conventional pores …”
Section: Introductionmentioning
confidence: 99%
“…4,5 As a result, various methods of enhanced oil recovery (EOR) have been proposed, including hydraulic fracturing, thermal recovery, chemical enhanced oil recovery, microbial enhanced oil recovery, and gas ooding. [6][7][8][9] Gases such as CO 2 , natural gas, and nitrogen, with their high efficiency in enhanced recovery and unique advantage of low cost, have become the current trend in the development of EOR in shale reservoirs. CO 2 exists as supercritical uid (scCO 2 ) under practical reservoir conditions, has superior diffusivity and solubility, and can easily penetrate shale reservoirs and dissolve crude oil.…”
Section: Introductionmentioning
confidence: 99%