He has authored more than 170 technical papers and carried out more than 60 projects for NOCs and IOCs. He is a SPE Distinguished Lecturer and has been featured in the Distinguished Author Series of SPE’s Journal of Petroleum Technology (JPT) four times. He is the founder of Petroleum Data-Driven Analytics, SPE’s Technical Section dedicated to machine learning and data mining. He has been honored by the US Secretary of Energy for his technical contribution in the aftermath of the Deepwater Horizon (Macondo) incident in the Gulf of Mexico and was a member of US Secretary of Energy’s Technical Advisory Committee on Unconventional Resources (2008-2014). He represented the United States in the International Standard Organization (ISO) on Carbon Capture and Storage (2014-2016).
Chapter 10: Post-Modeling Analysis of the Top-Down Model
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Published:2017
"Post-Modeling Analysis of the Top-Down Model", Data-Driven Reservoir Modeling, Shahab D. Mohaghegh
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Post-modeling analysis is the main reason that reservoir models are developed in the first place. Post-modeling analyses help to answer questions that concern reservoir engineers, reservoir managers, and reservoir modelers. The objective of building reservoir models is to, for example, forecast production performance of existing wells, with the aim of optimizing production or making economic calculations. Reservoir models can help engineers to identify the best location to drill new wells, or to characterize the reservoir for many other purposes.
Once a top-down model is developed, history matched, and validated, it can be used to perform a large number of analyses. Almost every type of analysis that is performed with a completed and history-matched numerical reservoir simulation model can also be performed with a completed and history-matched top-down model. Project objectives, but mostly data availability, determine the limitations of a top-down model and what can be expected to be the model’s output. In some cases, data limitations force the model output to be only the oil rate (gas rate). In other cases, gas/oil ratio (GOR) and water cut (WC), in addition to the oil rate, can be expected as the top-down-model output. Furthermore, as will be demonstrated in one of the case studies (Case Study No. 3: Mature Onshore Field in the Middle East), parameters such as static reservoir pressure and water saturation may be incorporated into a top-down model and be expected to appear as model output.
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