Effect of shale surface wettability on the CO2 huff-n-puff behavior in oil-bearing nanopores: A molecular dynamics study

Separation and Purification Technology, Journal Year: 2025, Volume and Issue: unknown, P. 133574 - 133574

Published: May 1, 2025

Language: Английский

Optimization of Supercritical CO2 Fracturing Based on Random Forest-Particle Swarm Optimization Model and Pre-existing Fracture Network

SPE Journal, Journal Year: 2024, Volume and Issue: unknown, P. 1 - 19

Published: Sept. 1, 2024

Summary On a global scale, shale oil/gas has become an important alternative energy source for conventional oil and gas. The potential advantages of supercritical CO2 (ScCO2) make it ideal to hydraulic fracturing, used reservoir transformation production increase while also promoting the geological storage CO2, which is in-line with today’s carbon capture, utilization, technology helps address challenges climate change. To further study fracture propagation optimization complex network (CFN) in ScCO2 fracturing under conditions using cohesive module ABAQUS establish fluid structure coupling model completing indoor field experimental verification, we introduce embedded cohesion zone (CZM) combined Python generate two natural-fracture (NF) distribution models, conjugate power law, dispersed mesh model. Based on this model, studied problem different engineering conditions. simulation results will be as data-driven data random forest-particle swarm algorithm (RF-PSO) optimize CFN. Research shown that (1) more inclined pass through NFs propagate rock matrix, fractures (HFs) combine better NFs. Compared significant (only width lower than its initiation pressure length are much there small fractures, making easier form CFN). (2) During process propagation, once dominant form, trend “Matthew effect” inevitable. influenced by multiple factors, especially NFs; larger filtration coefficient is, lost, unfavorable construction. While maintaining same amount injection, displacement increases, complexity control range expands. other parameters, effect temperature (FFT) expansion not significant. (3) established RF-PSO error 2.89%, can well adapt CFN problems NF reduce uncertainty. We propose article research method from modeling, dynamic simulation, modeling. By combining numerical machine learning, design achieved, providing approach fractured reservoirs.

Language: Английский

End of Tubing Placement Optimization for Multi-stage Fractured Horizontal Wells by Transient Multiphase Flow Simulation

Geoenergy Science and Engineering, Journal Year: 2024, Volume and Issue: unknown, P. 213548 - 213548

Published: Nov. 1, 2024

Language: Английский