2019
DOI: 10.1002/ese3.473
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Production capacity and mining plan optimization of fault/fracture‐controlled EGS model in Gonghe Basin

Abstract: Taking full advantage of geological conditions is beneficial to reduce the development cost and enhance the exploit of geothermal energy in the Gonghe Basin. In this paper, a thermal-hydraulic coupled model is put forward to study the heat extraction for Gonghe Basin based on local thermal nonequilibrium theory considering the natural fault. An excellent heat recovery system and reasonable combination of parameters are the premise of sustainable geothermal development. Two doublet systems are introduced to inv… Show more

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Cited by 17 publications
(5 citation statements)
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“…The study area is located on the southeastern edge of the Gonghe Basin. Due to the complexity of the geological structure in the Gonghe-Guide Basin, the study area is surrounded by several strike-slip faults, e.g., the Qinghai South Mountain fault, Heka South Mountain fault, Ela Mountain fault and Zhama Mountain fault (Zhang et al, 2019). The faults have a stronger permeability and aperture than common fractures.…”
Section: Geological Backgroundmentioning
confidence: 99%
“…The study area is located on the southeastern edge of the Gonghe Basin. Due to the complexity of the geological structure in the Gonghe-Guide Basin, the study area is surrounded by several strike-slip faults, e.g., the Qinghai South Mountain fault, Heka South Mountain fault, Ela Mountain fault and Zhama Mountain fault (Zhang et al, 2019). The faults have a stronger permeability and aperture than common fractures.…”
Section: Geological Backgroundmentioning
confidence: 99%
“…The contribution rate of the principal component reflects the ability of the principal component to synthesize the original variable information, and can also be understood as the ability to interpret the original variable. 12,13 The sum l i = P P j = 1 l j of the contribution rates of the first m (m p) principal components is called the cumulative contribution rate of the first m principal components, which reflects the ability of the first m principal components to synthesize the original variable information (or explain the original variables). 14,15 The calculation process of the principal component is implemented in SPSS software, and results are shown in Table 5.…”
Section: Solving the Principal Component From The Correlation Matrixmentioning
confidence: 99%
“…The contribution rate of the principal component reflects the ability of the principal component to synthesize the original variable information, and can also be understood as the ability to interpret the original variable. 12 , 13 …”
Section: Establishing the Scoring Model Based On Principal Component ...mentioning
confidence: 99%
“…With the increase of energy demand, the exploitation and storage technology of oil and gas have been developed rapidly [1,2]. Packer is an important product used in oil and gas production.…”
Section: Introductionmentioning
confidence: 99%