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contributor authorXianchao, Chen
contributor authorQihong, Feng
contributor authorQiang, Wang
date accessioned2017-05-09T01:07:06Z
date available2017-05-09T01:07:06Z
date issued2014
identifier issn0195-0738
identifier otherjert_136_02_022903.pdf
identifier urihttp://yetl.yabesh.ir/yetl/handle/yetl/154553
description abstractWater shutoff is a commonly used method to mitigate the early breakthrough in horizontal wells. Gel is frequently used as an effective water shutoff agent in mature fields, especially for horizontal wells in recent years. However, the relevant water shutoff prediction model lacks the accurate physical description of the gelation phenomenon. Using the conventional model, which simply accounts for the gelation mechanisms, does not allow us to predict the horizontal wells performance correctly. In this paper, a newly coupled reservoir–wellbore model for horizontal wells gel water shutoff prediction is presented. A conventional gel simulator is used to simulate the gel injection process in the reservoir and then modified to predict the horizontal well performance after the treatment. The timevarying residual resistance factor model and viscosity model is developed to simulate the gel degradation process. Especially, the wellbore pressure drop calculation takes account for the nonNewtonian behavior during and after the gel injection. An explicit modular coupled scheme, which consists of reservoir modular and wellbore modular, is adopted to numerically predict the horizontal wells performance. The newly presented method not only simulates the gel injection process but also predict the water shut off performance in horizontal wells. A field horizontal water shutoff case prediction shows that the coupled modeling method can give satisfactory results to guide the water shutoff treatment.
publisherThe American Society of Mechanical Engineers (ASME)
titlePerformance Prediction of Gel Water Shutoff in Horizontal Wells Using a Newly Coupled Reservoir–Wellbore Model
typeJournal Paper
journal volume136
journal issue2
journal titleJournal of Energy Resources Technology
identifier doi10.1115/1.4026919
journal fristpage22903
journal lastpage22903
identifier eissn1528-8994
treeJournal of Energy Resources Technology:;2014:;volume( 136 ):;issue: 002
contenttypeFulltext


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