|
|
|
|
Analyzing Single- and Two-Parameter Models For Describing Oil Recovery in Imbibition From Fractured Reservoirs
|
|
|
|
|
|
|
|
نویسنده
|
Ghaedi Mojtaba ,Ahmadpour Sadegh
|
|
منبع
|
Iranian Journal Of Oil And Gas Science And Technology - 2020 - دوره : 9 - شماره : 3 - صفحه:11 -25
|
|
|
|
|
چکیده
|
The imbibition process is known as one of the main production mechanisms in fractured reservoirs where oil/gas-filled matrix blocks are surrounded by water-filled fractures. different forces such as gravity and capillary play a role in production from a fractured reservoir during imbibition and complicate the imbibition process. in previous works, single-parameter models such as the aronofsky model and lambert w function were presented to model imbibition recovery from matrix blocks. the aronofsky model underestimates early time recovery and overestimates late time recovery, and lambert w function is suitable for water wet cases. in this work, a data bank of different experimental and numerical imbibition recovery curves at various rock and fluid properties were collected. then, a rigorous analysis was performed on the models utilized to describe oil/gas recovery during the imbibition process. in addition to investigating the single-parameter models, two-parameter models used for dose-response modeling, including weibull, beta-poisson, and logit models were examined. the results of this work demonstrate that using two-parameter models can improve the prediction of imbibition behavior. moreover, among the two-parameter models, the weibull has the capability to describe the imbibition process better.
|
|
کلیدواژه
|
Aronofsky Model ,Dose-Response Models ,Lambert W Function ,Matrix Block
|
|
آدرس
|
Shiraz University, School Of Chemical And Petroleum Engineering, Department Of Petroleum Engineering, Iran, Shiraz University, School Of Chemical And Petroleum Engineering, Department Of Petroleum Engineering, Iran
|
|
پست الکترونیکی
|
sadegh.ahmadpour96@gmail.com
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
Authors
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|
|