Results 71 to 80 of about 162 (141)

Machine learning-enhanced fully coupled fluid-solid interaction models for proppant dynamics in hydraulic fractures. [PDF]

Sci Rep
Wayo DDK, Irawan S, Wang L, Goliatt L.
europepmc   +1 more source

Application of multi-stage fracturing stimulation based on case study of Chang-7 shale gas formation in Ordos basin. [PDF]

Sci Rep
Dong G, Lu Y, Dong S.
europepmc   +1 more source

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.
europepmc   +1 more source

Effects of uneven proppant distribution in multiple clusters of fractures on fracture conductivity in unconventional hydrocarbon exploitation. [PDF]

Sci Rep
Xu J, Dong D, Zhao Y, Wang M, Chen T, Fu W, Zhang Q.   +6 more
europepmc   +1 more source

Experimental and Modeling Study on Proppant Flowback during the Entire Period of Deep Coalbed Methane Production. [PDF]

ACS Omega
Cai X, Wang Z.
europepmc   +1 more source

Proppant Settlement and Long-Term Conductivity Calculation in Complex Fractures. [PDF]

ACS Omega
Wang X, Zhang X, Zhang M, Zhang Q, Dong P, Ding H, Liu X.   +6 more
europepmc   +1 more source

Application of Machine Learning in Hydraulic Fracturing: A Review. [PDF]

ACS Omega
Ma Y, Ye M.
europepmc   +1 more source

Experimental analysis of hydraulic fracturing for fracture network formation in coal beds. [PDF]

Sci Rep
Yan J, Song X.
europepmc   +1 more source

Fracture Conductivity Prediction Based on Machine Learning. [PDF]

ACS Omega
Wang X, Zhang B, Du J, Liu D, Zhang Q, Liu X.   +5 more
europepmc   +1 more source

Review on Main Controlling Factors and Key Simulation Techniques of Hydro-Fracturing Potential for Coalbed Methane Reservoirs: Recent Progress, Challenges, and Prospects. [PDF]

ACS Omega
Guo W, Wei Y, Cao D, Wang A, Jin L, Shi H, Lv H, Duan Z.   +7 more
europepmc   +1 more source