Core-based recognition of well proppant particles using an enhanced ResNet model. [PDF]
Sci RepYin S, Yang E, Wang X, Dong C.
europepmc +1 more source
Artificial neural network (ANN) based prediction of proppant settling in horizontal wellbores during hydraulic fracturing. [PDF]
Sci RepJumaa M, Alajmei S, Hassan A, Bahri A.
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Experimental and theoretical investigation on the conductivity of complex fracture network in unconventional gas reservoirs. [PDF]
PLoS OneGao J, Hu L.
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Machine learning-enhanced fully coupled fluid-solid interaction models for proppant dynamics in hydraulic fractures. [PDF]
Sci RepWayo DDK, Irawan S, Wang L, Goliatt L.
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Analysis of the Key Factors Affecting the Productivity of Coalbed Methane Wells: A Case Study of a High-Rank Coal Reservoir in the Central and Southern Qinshui Basin, China. [PDF]
ACS Omega, 2020 Li P +6 more
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Application of multi-stage fracturing stimulation based on case study of Chang-7 shale gas formation in Ordos basin. [PDF]
Sci RepDong G, Lu Y, Dong S.
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Idea Generation and New Direction for Exploitation Technologies of Coal-Seam Gas through Recombinative Innovation and Patent Analysis. [PDF]
Int J Environ Res Public Health, 2020 Feng L, Li Y, Liu Z, Wang J.
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Effects of uneven proppant distribution in multiple clusters of fractures on fracture conductivity in unconventional hydrocarbon exploitation. [PDF]
Sci RepXu J +6 more
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Experimental and Modeling Study on Proppant Flowback during the Entire Period of Deep Coalbed Methane Production. [PDF]
ACS OmegaCai X, Wang Z.
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A new paradigm for proppant schedule design
, 2014 This study introduces a novel methodology for the design of the proppant pumping schedule for a hydraulic fracture, in which the fi nal proppant distribution along the crack is prescribed.
Dontsov, E. V., Peirce, Anthony
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