Method to Generate Random Element Equivalent Core Models Based on the NMR T2 Spectrum for Waterflooding in Tight Sandstone-Reference-Cited by-同舟云学术

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Method to Generate Random Element Equivalent Core Models Based on the NMR T2 Spectrum for Waterflooding in Tight Sandstone

Published:2021-12-08 Issue:50 Volume:6 Page:34783-34795
ISSN:2470-1343
Container-title:ACS Omega
language:en
Short-container-title:ACS Omega

Author:

Zhang Rui¹,Jia Hu¹^ORCID

Affiliation:

1. State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu 610500, China

Funder

Fok Ying Tong Education Foundation

Southwest Petroleum University

Distinguished Young Scholars Fund in Sichuan

Publisher

American Chemical Society (ACS)

Subject

General Chemical Engineering,General Chemistry

Link

https://pubs.acs.org/doi/pdf/10.1021/acsomega.1c05329

Reference42 articles.

1. Water flooding optimization with adjoint model under control constraints

2. A new method for the construction and optimization of quadrangular adaptive well pattern

3. Production optimization for alternated separate-layer water injection in complex fault reservoirs

4. Numerical Modelling of Sub-pore Scale Events in Two-Phase Flow Through Porous Media

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1. Novel Methods for Cost-Effectively Generating a Heterogeneous Core Model Based on Scale Change of Nuclear Magnetic Resonance and X-ray Computed Tomography Data;SPE Journal;2024-07-01

2. Nuclear magnetic resonance experiments on the time-varying law of oil viscosity and wettability in high-multiple waterflooding sandstone cores;Petroleum Exploration and Development;2024-04

3. Experimental Study on the Mechanism and Law of Low-Salinity Water Flooding for Enhanced Oil Recovery in Tight Sandstone Reservoirs;ACS Omega;2024-03-05

4. Experimental evaluation of imbibition effect in Mahu conglomerate reservoirs;International Journal of Oil, Gas and Coal Technology;2022

5. Application of Internet of Things Sensor in Analysis of Water Flooding Law in Low Permeability Reservoir;Cyber Security Intelligence and Analytics;2022

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