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Embedded Discrete Fracture Model (EDFM) for Advanced Naturally and Hydraulically Fractured Reservoir Simulation

This special issue belongs to the section “H: Geo-Energy“.

Special Issue Information

Dear Colleagues,

Embedded discrete fracture models (EDFM) have been recently developed and widely proven to be the best fracture modeling tool for simulating any and all types of fractures (hydraulic and natural) to enhance reservoir models to drastically improve predictability and optimization/development strategies for both primary and enhanced oil recovery applications. Having this capability is critical because fractures can dominate the results seen in the field. This system can be swiftly integrated into existing frameworks for all fractured reservoirs to perform more predictive sensitivity analyses, more representative history matching, and accurate production forecasting. This Special Issue solicits original and high-quality research articles related to the EDFM developments and its applications in naturally and hydraulically fractured reservoirs.

Of interest are original papers on:

  • Advanced EDFM developments for fractured reservoir simulation;
  • Comparison between EDFM and dual porosity dual permeability (DPDK);
  • Integration of EDFM and artificial intelligence (AI) for fractured reservoirs;
  • Advanced history matching and production forecasting using EDFM;
  • Effects of natural fractures on well performance using EDFM;
  • Coupling fracture model and reservoir model using EDFM;
  • Advanced geomechanics simulation for fractured reservoirs using EDFM;
  • Applications of EDFM in natural fracture calibration;
  • Applications of EDFM in hydraulic fracture calibration;
  • Applications of EDFM in well spacing optimization;
  • Applications of EDFM in water intrusion with complex natural fractures;
  • Applications of EDFM in well interference due to complex fracture hits;
  • Applications of EDFM in well test of naturally fractured reservoirs;
  • Applications of EDFM in rate or pressure transient analysis of fractured reservoirs;
  • Applications of EDFM in enhanced gas and oil recovery with complex fractures;
  • Applications of EDFM in geothermal with complex fracture networks;
  • Applications of EDFM in complex fault modeling;
  • Applications of EDFM in CO2 sequestration with complex fracture networks.

Prof. Dr. Kamy Sepehrnoori
Dr. Wei Yu
Prof. Dr. Kan Wu
Guest Editors

Manuscript Submission Information

Manuscripts should be submitted online at www.mdpi.com by registering and logging in to this website. Once you are registered, click here to go to the submission form. Manuscripts can be submitted until the deadline. All submissions that pass pre-check are peer-reviewed. Accepted papers will be published continuously in the journal (as soon as accepted) and will be listed together on the special issue website. Research articles, review articles as well as short communications are invited. For planned papers, a title and short abstract (about 250 words) can be sent to the Editorial Office for assessment.

Submitted manuscripts should not have been published previously, nor be under consideration for publication elsewhere (except conference proceedings papers). All manuscripts are thoroughly refereed through a single-blind peer-review process. A guide for authors and other relevant information for submission of manuscripts is available on the Instructions for Authors page. Energies is an international peer-reviewed open access semimonthly journal published by MDPI.

Please visit the Instructions for Authors page before submitting a manuscript. The Article Processing Charge (APC) for publication in this open access journal is 2600 CHF (Swiss Francs). Submitted papers should be well formatted and use good English. Authors may use MDPI's English editing service prior to publication or during author revisions.

Keywords

  • Complex natural fractures
  • Complex hydraulic fractures
  • Advanced history matching
  • Improved production forecasting
  • Complex fracture hits
  • Embedded discrete fracture model
  • Artificial intelligence for complex fractures
  • Well spacing optimization
  • Well interference
  • Geomechanics
  • Enhanced oil recovery
  • Geothermal
  • CO2 sequestration

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Energies - ISSN 1996-1073