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Special Issue "Shale Oil and Shale Gas Resources"
Deadline for manuscript submissions: 31 October 2019.
Computational Hydrocarbon Laboratory for Optimized Energy Efficiency, University of Pau and Pays de l’Adour, 64012 Pau, France
Interests: reservoir engineering; reservoir simulation; enhanced oil recovery; unconventional reservoirs; data analysis; machine learning; advanced reservoir monitoring systems
1. CEO at DeepCast.ai, 800 Town & Country Blvd, STE # 300, Houston, TX 77024, USA
2. Adjunct Professor at the Department of Computational & Applied Mathematics, Rice University, Houston, TX 77005, USA
Interests: data science; artificial intelligence; computational science; reservoir simulation; high performance algorithms; optimization; uncertainty quantification
We are pleased to invite you to submit papers to the journal Energies for a Special Issue that will be entirely devoted to “Shale Oil and Shale Gas Resources”. The Special Issue will expand on essential technical challenges for improving the understanding and management of these unconventional reservoirs. This Special Issue will serve as an excellent channel for sharing information and lessons learned, collected from different plays.
The relatively short production span observed in unconventional reservoirs demands novel solutions for optimizing drilling, completion, and improved recovery efficiencies. On the other hand, the consolidation and analysis of multiple sources of data are becoming key enablers for the discovery of strong production drivers and building predictive models for complex rock–fluid interactions on fractured media. This issue will seek to ignite contrasting perspectives towards optimal shale play management.
Potential topics of interest include, but are not limited to:
- Advances in shale reservoir characterization techniques and workflows;
- Analysis of physical-chemical interactions of shale rocks with drilling, injected, or in-situ fluids;
- Novel technologies to address the complex challenges in the modeling and simulation of hydrocarbon production from shale formations;
- Geomechanical aspects and impacts on shale reservoirs;
- Novel methods for enhanced hydrocarbon recovery in shale reservoirs;
- Machine learning and data science applications for unlocking new insights in shale resources exploitation.
Dr. José A. Torres
Dr. Hector Klie
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 papers will be 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 100 words) can be sent to the Editorial Office for announcement on this website.
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 1800 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.
- unconventional resources
- shale gas
- shale oil
- shale plays
- fractured media
- hydraulic fracturing
- coupled flow and geomechanics
- machine learning
- data-driven models