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The difficulty in applying traditional reservoir-simulation and -modeling techniques for unconventional-reservoir forecasting is often related to the systematic time variations in production-decline rates. This paper proposes a nonparametric statistical approach to resolve this difficulty. In this work, the authors perform automatic decline analysis on Marcellus Shale gas wells and predict ultimate recovery for each well.
Eric is an astute Petroleum Engineer with both research and field engineering experience. He's worked with multinational firms such as Shell in Ghana before graduate school. Currently, he is undertaking PhD studies at the School of Earth Science, University of Melbourne, Australia. He attained a Master's Degree in Petroleum Engineering from Kyushu University, Japan, and a Bachelor's Degree in Minerals Engineering from the University of Mines & Technology, Ghana. He has a great interest in reactive transport processes, geological modelling and reservoir simulation for subsurface fluid flow and processes.
Mehmet Torcuk is a PhD student at the Colorado School of Mines, where he received his Master of Science in Petroleum Engineering in 2013. He received his Bachelor of Science in Petroleum Engineering in 2010 from Istanbul Technical University. Torcuk has received several awards throughout his academic career, including the Graduate Research Scholarship from The Scientific and Technological Research Council of Turkey, an award that is only given to the top 100 brightest students in technical disciplines in Turkey. He has also authored papers for SPE on the topics of pressure and rate transient analysis, reservoir simulation, and physics of fluid flow in shale reservoirs, and had his research work published in the SPE Journal of October 2013. Torcuk will be focusing on the numerical modeling of unconventional reservoirs with improved physics, which includes compositional modeling as well as coupled geomechanics and fluid flow.
SPE, through its Energy4me programme, will present a free one-day energy education workshop for science teachers (grades 8–12). A variety of free instructional materials will be available to take back to the classroom. Educators will receive comprehensive, objective information about the scientific concepts of energy and its importance while discovering the world of oil and natural gas exploration and production. Energy4me is an energy educational public outreach programme that highlights how energy works in our everyday lives and promote information about career opportunities in petroleum engineering and the upstream professions. SPE’s Energy4me programme values the role teachers and energy professionals play in educating young people about the importance of energy.
To apply multiwell deconvolution to real data, confidence must exist in the validity of the solution it provides and the consequent interpretation that is inferred. Therefore, for practical multiwell deconvolution of field data, reducing the nonuniqueness in a solution, ensuring the results are physically feasible, and providing the desired consistency and quality of solutions are essential.
You have access to this full article to experience the outstanding content available to SPE members and JPT subscribers. To ensure continued access to JPT's content, please Sign In, JOIN SPE, or Subscribe to JPT Reservoir simulation is valuable in understanding dynamics of unconventional reservoirs. Applications include estimating long-term production behavior, enhancing well-spacing and pad-modeling efficiency, optimizing completion and stimulation of horizontal wells, and understanding production drivers that cause differences in productivity between wells. In the complete paper, the authors revisit fundamental concepts of reservoir simulation in unconventional reservoirs and summarize several examples that form part of an archive of lessons learned. Reservoir simulation plays an important role in many stages of unconventional reservoir field development.
As the world struggles through the COVID-19 crisis and our industry suffers from linked oversupply and demand reduction, we are all forced to refocus on what makes a difference to the bottom line. In the numerical reservoir simulation space, that is generally, “How do we answer a decision-related question in the least amount of time with an acceptable degree of confidence?” Simulation has always been a double-edged sword—a method that, when well-used in fit-for-purpose ways to answer specific questions, can deliver real value. Conversely, when it is used as a substitute for understanding, perhaps to justify a development decision or simply to convince ourselves that we understand a system far better than we really do, many staff years of effort can be quickly lost while not delivering very much. Fit-for-purpose approaches likely will be of ever-increasing focus going forward. If it is not adding value, it should not be done.
In the complete paper, the authors present a novel methodology to model interwell connectivity in mature waterfloods and achieve an improved reservoir-energy distribution and sweep pattern to maximize production performance by adjusting injection and production strategy on the well-control level. A Drilling Advisory System (DAS) is a rig-based drilling-surveillance and -optimization platform that encourages regular drilloff tests, carefully monitors drilling performance, and provides recommendations for controllable drilling parameters to help improve the overall drilling process. This paper proposes a framework based on proxies and rejection sampling (filtering) to perform multiple history-matching runs with a manageable number of reservoir simulations.