Showing papers in "Journal of Porous Media in 2019"
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TL;DR: Wei et al. as discussed by the authors presented a model for a multi-facetured HORIZONTAL WELL with DISCRETE FRACTURE NETWORKS in SHALE GAS RESERVOIRS.
Abstract: TRANSIENT PRODUCTION DECLINE BEHAVIOR ANALYSIS FOR A MULTI-FRACTURED HORIZONTAL WELL WITH DISCRETE FRACTURE NETWORKS IN SHALE GAS RESERVOIRS Mingqiang Wei,1,∗ Yonggang Duan,1 Mingzhe Dong,2 Quantang Fang,1 & Morteza Dejam3 1State Key Laboratory of Oil and Gas Reservoir Geology and Exploitation, Southwest Petroleum University, Chengdu, 610500, Sichuan, China 2Department of Chemical and Petroleum Engineering, Schulich School of Engineering, University of Calgary, 2500 University Drive NW, Calgary, Alberta T2N 1N4, Canada 3Department of Petroleum Engineering, College of Engineering and Applied Science, University of Wyoming, 1000 E. University Avenue, Laramie, WY 82071-2000, USA
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TL;DR: In this article, the authors partially supported by the National Natural Science Foundation of China under the contract No. 11401467, China Postdoctoral Science Foundation Funded Project under Contract No. 2013M542334 and No. 2015JQ1012.
Abstract: This work is partially supported by the National Natural Science Foundation of China under the contract No. 11401467, China Postdoctoral Science Foundation Funded Project under the contract No. 2013M542334 and No. 2015T81012, Natural Science Foundation of Shaanxi Province under the contract No. 2015JQ1012.
TL;DR: In this article, the effects of flow measurement errors on interpreting well testing data and estimating the recoverable reserves are investigated and current MER strategies for the UKCS are discussed and the importance of using downhole flow measurement data in well testing for MER has been emphasised.
Abstract: In terms of Maximising Economic Recovery (MER) in the United Kingdom Continental Shelf (UKCS), the measurement of well production rates is essential to optimise the hydrocarbon production strategy from within the well itself. This is achieved through a process called a well test where a snapshot of production is monitored by measurement equipment and instrumentation. The data collected is then used to characterise the reservoir near the wells and to optimise the wells’ production rates. However, the measurement accuracy required to provide sufficient control has not been established and there is little information in the public domain that shows what the current typical operational measurement uncertainty is. Given that modelling and reservoir management is highly dependent on these measurements, the allowable uncertainty must be known to fully assess if the equipment and the methodology of verifying the measurements is fit for purpose. This paper details an investigation of the effects of flow measurement errors on interpreting well testing data and estimating the recoverable reserves. In addition, current MER strategies for the UKCS are discussed and the importance of using downhole flow measurement data in well testing for MER has been emphasised.
TL;DR: In this article, Shen et al. investigated the effect of time-temperATURE DISTRIBUTION of PROTON EXCHANGE MEMBRANE FUEL CELLs at high current densities.
Abstract: NUMERICAL INVESTIGATION OF TEMPERATURE DISTRIBUTION OF PROTON EXCHANGE MEMBRANE FUEL CELLS AT HIGH CURRENT DENSITY Jun Shen,1 Lingping Zeng,2 Zhengkai Tu,1 Zhichun Liu,1,∗ & Wei Liu1 1School of Energy and Power Engineering, Huazhong University of Science and Technology, Wuhan, 430074, China 2Department of Mechanical Engineering, Massachusetts Institute of Technology, Cambridge, Massachusetts 02139-4307, USA
TL;DR: Shukla et al. as mentioned in this paper proposed a method to solve the Shukla problem in the context of geology and applied it in the field of computer science at the University of La Plata.
Abstract: Khemraj Shukla,1 José M. Carcione,2,6 Priyank Jaiswal,1 Juan Santos,3,4,5 & Jing Ba6,∗ 1Boone Pickens School of Geology, 105 Noble Research Center, Oklahoma State University, Stillwater, OK, 74078. 2Istituto Nazionale di Oceanografia e di Geofisica Sperimentale (OGS), Borgo Grotta Gigante 42c, 34010 Sgonico, Trieste, Italy. 3CONICET, Instituto del Gas y del Petróleo,Facultad de Ingeniería, Universidad de Buenos Aires, Av. Las Heras 2214 Piso 3, C1127AAR Buenos Aires, Argentina. 4Department of Mathematics, Purdue University, 150 N. University Street, West Lafayette, Indiana, 47907-2067, USA. 5Universidad Nacional de La Plata, Argentina. 6School of Earth Science and Technology, Hohai University, Nanjing, 211100, China