2019
DOI: 10.3390/en12183421
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Brittleness Evaluation of Glutenite Based On Energy Balance and Damage Evolution

Abstract: Tight glutenite reservoirs are typically characterized by highly variable lithology and permeability, low and complex porosity, and strong heterogeneity. Glutenite brittleness is an essential indicator for screening fracture targets, selecting technological parameters, and predicting the hydraulic fracturing effect of tight glutenite reservoir exploitation. Glutenite formations with high brittleness are more likely to be effectively fractured and form complex fractures. Accurate evaluation of glutenite brittle… Show more

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Cited by 8 publications
(5 citation statements)
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“…Processes 2022, 10, 1367 10 of 16 or 30 Mpa, and both values further decrease when the confining pressure is 50 MPa or 70 MPa. [35], shale 1 [23], shale 2 [23], glutenite [26], granite [36],…”
Section: Reliability Verification Of Bi Esmentioning
confidence: 99%
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“…Processes 2022, 10, 1367 10 of 16 or 30 Mpa, and both values further decrease when the confining pressure is 50 MPa or 70 MPa. [35], shale 1 [23], shale 2 [23], glutenite [26], granite [36],…”
Section: Reliability Verification Of Bi Esmentioning
confidence: 99%
“…To verify the universality of the proposed brittleness index, BI ES , the CTC test data of six types of rocks (i.e., sandstone [35], shale 1 [23], shale 2 [23], glutenite [26], granite [36], and gneiss [36]) are cited. The corresponding stress-strain curves are exhibited in Figure 7.…”
Section: Universality Verification Of Bi Esmentioning
confidence: 99%
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“…The glutenite reservoir is a low-permeability tight one [8]. The traditional evaluation methods conventional parameters such as porosity and permeability cannot meet the requirements of fine exploration and productivity improvement [35,36].…”
Section: Example Of Energy Exploitationmentioning
confidence: 99%
“…The reservoirs usually have large thicknesses, high productivity per unit area, and great exploration potential [4]. The lithology of glutenite reservoirs changes rapidly, the reservoir connectivity is difficult to describe, and exploration and development are difficult [5][6][7][8]. Therefore, to predict the distribution of glutenite bodies, it is first necessary to systematically study the characteristics and control factors of glutenite development.…”
Section: Introductionmentioning
confidence: 99%