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contributor authorLesan, A.
contributor authorEhsan Eshraghi, S.
contributor authorBahroudi, A.
contributor authorReza Rasaei, M.
contributor authorRahami, H.
date accessioned2019-02-28T10:55:46Z
date available2019-02-28T10:55:46Z
date copyright9/12/2017 12:00:00 AM
date issued2018
identifier issn0195-0738
identifier otherjert_140_01_012904.pdf
identifier urihttp://yetl.yabesh.ir/yetl1/handle/yetl/4250891
description abstractTo have an acceptable accuracy for water flooding projects, proper history matching is an important tool. Capacitance resistance model (CRM) simulates water flooding performance based on two tuning parameters of time constant and connectivity. Main advantages of CRM are its simplicity and fastness; furthermore, it needs only some field-available inputs like injection and production flow rates. CRM is reliable if producers receive the injection rate signal; in other words, duration of history matching must be enough so that the rate signal of injection is sensed in producers. It is a shortcoming of CRM that the results might not be accurate as a result of short history. In the common CRM, time constant is considered to be a static parameter (constant number) during the history of simulation. However, time constant is a time-dependent function that depends on the reservoir nature. In this paper, a new model has been developed as it decreases model dependency on the history matching length by shifting time axis. This new definition adds a rate shift constant to the model mathematics. Moreover, a new model is considering dynamic time constants. This new model is called dynamic capacitance resistance model (DCRM). Two reservoir models have been simulated to analyze the performance of DCRM, and, as a result, it is found that the static time constant is an erroneous assumption. Finally, the accuracy of the results has been improved since the degree-of-freedom of the CRM increased in the new version.
publisherThe American Society of Mechanical Engineers (ASME)
titleState-of-the-Art Solution of Capacitance Resistance Model by Considering Dynamic Time Constants as a Realistic Assumption
typeJournal Paper
journal volume140
journal issue1
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.4037368
journal fristpage12904
journal lastpage012904-14
treeJournal of Energy Resources Technology:;2018:;volume 140:;issue 001
contenttypeFulltext


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