Journal ArticleDOI
Distinguishing fractures from matrix pores based on the practical application of rock physics inversion and NMR data: A case study from an unconventional coal reservoir in China
Naser Golsanami,Naser Golsanami,Jianmeng Sun,Ying Liu,Weichao Yan,Chen Lianjun,Lishuai Jiang,Huaimin Dong,Chenglin Zong,Haiqing Wang +9 more
TLDR
In this article, the authors distinguish fracture porosity and matrix porosity in coalbed methane reservoirs through a novel approach which is the joint usage of NMR transverse relaxation (T2) measurements and rock physics modeling based on Levenberg-Marquardt (LM) algorithm.About:
This article is published in Journal of Natural Gas Science and Engineering.The article was published on 2019-05-01. It has received 75 citations till now. The article focuses on the topics: Porosity & Coalbed methane.read more
Citations
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Journal ArticleDOI
Failure properties of cubic granite, marble, and sandstone specimens under true triaxial stress
TL;DR: In this article, the failure strength, fracture dip angle, non-linear behavior and failure mode of these rocks under true triaxial conditions were affected by both σ2 and σ3, as well as the rock lithology.
Journal ArticleDOI
Evaluation of wettabilities and pores in tight oil reservoirs by a new experimental design
TL;DR: In this paper, the authors performed NMR measurements on rock samples under different fluid saturation states and combined the results with imbibition methods as the novel experimental procedure to characterize wettability and pores of tight oil reservoirs.
Journal ArticleDOI
A novel type of neural networks for feature engineering of geological data: case studies of coal and gas hydrate-bearing sediments
TL;DR: This research introduces a novel kind of neural network processing framework for the geological that does not suffer from the limitations of the conventional NNs and outperformed the conventional neural networks in both cases of simulation-based and case study estimations of the tensile and shear strength.
Journal ArticleDOI
Crack propagation patterns and factors controlling complex crack network formation in coal bodies during tri-axial supercritical carbon dioxide fracturing
TL;DR: In this paper, a triaxial SC-CO2-fractured coal body was studied under thermo-hydro-mechanical coupling conditions, and the crack propagation pattern in the coal body with three aspects of fracturing media, fractured substances, and their interactions were revealed, which provided theoretical guidance for applying and promoting supercritical carbon dioxide fracturing in coal mines.
Journal ArticleDOI
Prediction of Reservoir Quality from Log-Core and Seismic Inversion Analysis with an Artificial Neural Network: A Case Study from the Sawan Gas Field, Pakistan
TL;DR: In this paper, a machine learning (ML) inversion algorithm was selected to predict the spatial variations of acoustic impedance (AI), porosity, and saturation from well logs and core analyses data.
References
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Book
Numerical Optimization
Jorge Nocedal,Stephen J. Wright +1 more
TL;DR: Numerical Optimization presents a comprehensive and up-to-date description of the most effective methods in continuous optimization, responding to the growing interest in optimization in engineering, science, and business by focusing on the methods that are best suited to practical problems.
Book
NMR logging : principles and applications
TL;DR: NMR Logging Applications and Benefits NMR Petrophysics Fundamentals of NMR PETrophysics and NMR Hydrocarbon Typing MRIL Tool Principles Answer Products Derived from MRIL Stand-Alone Analysis Answer Product Derived From MRIL Combinations with Other Logs MRIL Job Planning MRIL Log Quality Control Glossary Index as discussed by the authors
Journal ArticleDOI
Petrophysical characterization of coals by low-field nuclear magnetic resonance (NMR)
TL;DR: Wang et al. as mentioned in this paper proposed a new NMR-based per-meability model that better estimates the permeability of coals, which has potential applications for NMR well logging in coalbed methane exploration.