Results 151 to 160 of about 849 (184)

Parameterization of embedded discrete fracture models (EDFM) for efficient history matching of fractured reservoirs

Journal of Petroleum Science and Engineering, 2021
Abstract Embedded Discrete Fracture Model (EDFM) is a promising approach to describe the reservoirs with fractures. Conventional streamline-based inversion method has been limited to the dual-porosity models where the natural fractures are modeled implicitly and flow between matrix blocks is not accounted for.
Hyunmin Kim, Tsubasa Onishi, Hongquan Chen, Akhil Datta-Gupta   +3 more
openaire   +1 more source

A Coupled XFEM-EDFM Numerical Model For Hydraulic Fracture Propagation

Proceedings, 2018
Summary Fracture propagation (FP) occurs in various applications including hydraulic fracturing, underground disposal of liquid waste, in-situ stress estimation, and the failure of dams due to underwater cracks. This work develops a numerical model of the hydraulic fracturing process that is widely applied to the extraction of natural gas from shale ...
G. Ren, R.M. Younis
openaire   +1 more source

An Integrated EDFM+DPDK Hybrid Workflow for Hierarchical Treatment of Fractures in Practical Field Studies

SPE Western Regional Meeting, 2022
Abstract Natural fracture systems comprise numerous small features and relatively few large ones. At field scale, it is impractical to treat all fractures explicitly. We represent the largest fractures via Embedded Discrete Fracture Modeling (EDFM) and account for smaller ones using a dual-porosity, dual-permeability (DPDK) idealized ...
Mun-Hong Hui, Brad Mallison, Sunil Thomas, Pierre Muron, Xu Xue, Matthieu Rousset, Evan Earnest, Ted Playton, Hai Vo, Keith Ramsaran, Clair Jensen   +10 more
openaire   +1 more source

XFEM-EDFM-MINC for Coupled Geomechanics and Flow in Fractured Reservoirs

Proceedings, 2016
Unconventional reservoirs are often naturally and hydraulically fractured with characteristically small pores and low permeability within the matrix. The underlying fracture networks can have a wide range of length scales and complex geometries. While hydraulic fractures may be propped, natural fractures are predominantly supported by pore pressure.
G.T. Ren, J.M. Jiang, R.M. Younis
openaire   +1 more source

EDFM-based Multi-Continuum Shale Gas Simulation with Low Velocity Non-Darcy Water Flow Effect

SPE Reservoir Simulation Conference, 2021
Abstract The exploitation of shale gas has attracted extensive attention in industry and academia. Multi-scale gas transportation mechanisms in matrix and fractures have been well studied. However, due to the presence of water originating from both fracking fluids and connate water, shale gas production is also greatly affected by water ...
Yu Jiang, John Killough, Linkai Li, Xiaona Cui, Jin Tang   +4 more
openaire   +1 more source

Numerical Simulation of Well Production Performance Considering Pre-Darcy Flow Using EDFM

SPE Asia Pacific Oil and Gas Conference and Exhibition, 2018
Abstract Numerical simulation of well production performance for tight oil/gas reservoirs is a hot issue during recent years. Embedded discrete facture model (EDFM) is an effective numerical simulation tool as its advantages and becomes popular. Now it is widely used in multistage fractured horizontal well performance prediction. In this
Jianchun Xu, Baojiang Sun, Wei Zhang, Hongjie Cheng, Weiqi Fu   +4 more
openaire   +1 more source

Study of hydraulic fracturing in an anisotropic poroelastic medium via a hybrid EDFM-XFEM approach

Computers and Geotechnics, 2019
Abstract In this paper, we investigate the effects of poroelastic properties and permeability on hydraulic fracturing in an anisotropic medium. A hybrid approach combining the EDFM (embedded discrete fracture model) and XFEM (extended finite element method) is proposed. Fractures are embedded into a nonconforming grid used to determine the fluid flow
Zeng, Qing-Dong, Yao, Jun, Shao, Jianfu
openaire   +1 more source

IBRNN-EDFM: An Improved Bayesian Regularized Neural Network based Electricity Demand Forecasting Model

Asian Journal of Research in Social Sciences and Humanities, 2016
Electricity demand forecasting is one of the main challenging work in the field of data mining. Bayesian regularized neural networks are more strong than the standard back propagation algorithms. Bayes's theorem is the statistical model that is used to compute the statistical values in a powerful manner.
T.M. Usha, S. Appavu Alias Balamurugan
openaire   +1 more source

Fully-Coupled XFEM-EDFM Hybrid Model for Geomechanics and Flow in Fractured Reservoirs

SPE Reservoir Simulation Conference, 2017
Abstract A mixed discretization approach is propsed to adequately resolve fracture system while accurately and efficiently modeling both flow and geomechanics. An extended finite element method (XFEM) is applied to approximate the geomechanics, and an embedded-discrete-fracture model (EDFM) is used to model the multiphase flow equations.
Guotong Ren, Jiamin Jiang, Rami M. Younis   +2 more
openaire   +1 more source

Coupling EDFM-AI and ESMDA for Dynamic Unconventional Reservoir Characterizations

ADIPEC
Abstract Hydraulic fracturing is the key enabling technology for the economic development of unconventional reservoirs, where well productivity depends on the creation of an extensive, conductive fracture network. Accurate characterization of effective fracture geometry and reservoir properties is essential for predicting well ...
Chuxi Liu, Wei Yu, Ning Li, Jijun Miao
openaire   +1 more source