Single-Well Dynamic Permeability Splitting Algorithm and Classification Evaluation: A Case Study of a Super-Thick Carbonate Reservoir in the Middle East

The permeability interpretation accuracy of single wells in the Middle East super-thick carbonate reservoir can hardly meet the actual demand of water injection development. Therefore, this study develops an iterative split algorithm to calculate single-well segmental dynamic permeability and SPI (s...

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Main Authors: Peng Cao, Yongjun Wang, Zhanfeng Qiao, Guangya Zhu, Haiyang Su, Guanming Shao, Jie Gong, Haiyang Deng
Format: Article
Language:English
Published: Frontiers Media S.A. 2022-06-01
Series:Frontiers in Energy Research
Subjects:
Online Access:https://www.frontiersin.org/articles/10.3389/fenrg.2022.921669/full
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author Peng Cao
Peng Cao
Peng Cao
Yongjun Wang
Zhanfeng Qiao
Zhanfeng Qiao
Guangya Zhu
Haiyang Su
Guanming Shao
Guanming Shao
Jie Gong
Haiyang Deng
author_facet Peng Cao
Peng Cao
Peng Cao
Yongjun Wang
Zhanfeng Qiao
Zhanfeng Qiao
Guangya Zhu
Haiyang Su
Guanming Shao
Guanming Shao
Jie Gong
Haiyang Deng
author_sort Peng Cao
collection DOAJ
description The permeability interpretation accuracy of single wells in the Middle East super-thick carbonate reservoir can hardly meet the actual demand of water injection development. Therefore, this study develops an iterative split algorithm to calculate single-well segmental dynamic permeability and SPI (specific production index) based on the dynamic and static well test, PLT (production log test), production test, and logging interpretation data. Moreover, the dynamic permeability classification evaluation index was optimized. The detailed steps are as follows: 1) The liquid supply of a single well is split according to tp PLT. 2) For some production intervals, the log interpretation data are applied to carry out the second iteration splitting of formation coefficient and fluid supply. 3) The proportion of liquid supply in the stratification section is calculated based on the calculation results of steps 1 and step 2. 4) The total formation coefficient of well test interpretation is divided based on the calculation results of step 3. 5) The dynamic permeability and SPI are calculated. The research results show that the dynamic permeability and SPI of a single well are accurate to the scale of one meter from the several original meters to tens of meters, which can better meet the needs of water injection development. In addition, SPI can be used as an essential index for permeability classification evaluation. Taking the Halfaya Oilfield and the Mishrif format reservoir as examples, the low penetration rate of the MB1-2 high penetration rate is 200md and the lower specific production index limit is 0.35 bbl/(d·m·psi), respectively. The dynamic foundation of the high-permeability layer is identified. This method offers a new idea for the title of high-permeability streaks. Moreover, this method can provide the scientific basis for correcting the permeability attribute model, water injection plan optimization, single-well completion cementing scheme, and water coning control, which can be popularized and applied in the same reservoirs.
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spelling doaj.art-a3ad441d9c314ddca086e07a5700e9782022-12-22T03:29:34ZengFrontiers Media S.A.Frontiers in Energy Research2296-598X2022-06-011010.3389/fenrg.2022.921669921669Single-Well Dynamic Permeability Splitting Algorithm and Classification Evaluation: A Case Study of a Super-Thick Carbonate Reservoir in the Middle EastPeng Cao0Peng Cao1Peng Cao2Yongjun Wang3Zhanfeng Qiao4Zhanfeng Qiao5Guangya Zhu6Haiyang Su7Guanming Shao8Guanming Shao9Jie Gong10Haiyang Deng11College of Geoscience, China University of Petroleum, Beijing, ChinaPetroChina Hangzhou Research Institute of Geology, Hangzhou, ChinaKey Laboratory of Carbonate Reservoir, CNPC, Hangzhou, ChinaResearch Institute of Petroleum Exploration and Development, PetroChina, Beijing, ChinaPetroChina Hangzhou Research Institute of Geology, Hangzhou, ChinaKey Laboratory of Carbonate Reservoir, CNPC, Hangzhou, ChinaResearch Institute of Petroleum Exploration and Development, PetroChina, Beijing, ChinaResearch Institute of Petroleum Exploration and Development, PetroChina, Beijing, ChinaPetroChina Hangzhou Research Institute of Geology, Hangzhou, ChinaKey Laboratory of Carbonate Reservoir, CNPC, Hangzhou, ChinaCollege of Petroleum Engineering, Yangtze University, Wuhan, ChinaCollege of Petroleum Engineering, Yangtze University, Wuhan, ChinaThe permeability interpretation accuracy of single wells in the Middle East super-thick carbonate reservoir can hardly meet the actual demand of water injection development. Therefore, this study develops an iterative split algorithm to calculate single-well segmental dynamic permeability and SPI (specific production index) based on the dynamic and static well test, PLT (production log test), production test, and logging interpretation data. Moreover, the dynamic permeability classification evaluation index was optimized. The detailed steps are as follows: 1) The liquid supply of a single well is split according to tp PLT. 2) For some production intervals, the log interpretation data are applied to carry out the second iteration splitting of formation coefficient and fluid supply. 3) The proportion of liquid supply in the stratification section is calculated based on the calculation results of steps 1 and step 2. 4) The total formation coefficient of well test interpretation is divided based on the calculation results of step 3. 5) The dynamic permeability and SPI are calculated. The research results show that the dynamic permeability and SPI of a single well are accurate to the scale of one meter from the several original meters to tens of meters, which can better meet the needs of water injection development. In addition, SPI can be used as an essential index for permeability classification evaluation. Taking the Halfaya Oilfield and the Mishrif format reservoir as examples, the low penetration rate of the MB1-2 high penetration rate is 200md and the lower specific production index limit is 0.35 bbl/(d·m·psi), respectively. The dynamic foundation of the high-permeability layer is identified. This method offers a new idea for the title of high-permeability streaks. Moreover, this method can provide the scientific basis for correcting the permeability attribute model, water injection plan optimization, single-well completion cementing scheme, and water coning control, which can be popularized and applied in the same reservoirs.https://www.frontiersin.org/articles/10.3389/fenrg.2022.921669/fullsuper-thick reservoirwell testPLTdynamic permeabilitySPI
spellingShingle Peng Cao
Peng Cao
Peng Cao
Yongjun Wang
Zhanfeng Qiao
Zhanfeng Qiao
Guangya Zhu
Haiyang Su
Guanming Shao
Guanming Shao
Jie Gong
Haiyang Deng
Single-Well Dynamic Permeability Splitting Algorithm and Classification Evaluation: A Case Study of a Super-Thick Carbonate Reservoir in the Middle East
Frontiers in Energy Research
super-thick reservoir
well test
PLT
dynamic permeability
SPI
title Single-Well Dynamic Permeability Splitting Algorithm and Classification Evaluation: A Case Study of a Super-Thick Carbonate Reservoir in the Middle East
title_full Single-Well Dynamic Permeability Splitting Algorithm and Classification Evaluation: A Case Study of a Super-Thick Carbonate Reservoir in the Middle East
title_fullStr Single-Well Dynamic Permeability Splitting Algorithm and Classification Evaluation: A Case Study of a Super-Thick Carbonate Reservoir in the Middle East
title_full_unstemmed Single-Well Dynamic Permeability Splitting Algorithm and Classification Evaluation: A Case Study of a Super-Thick Carbonate Reservoir in the Middle East
title_short Single-Well Dynamic Permeability Splitting Algorithm and Classification Evaluation: A Case Study of a Super-Thick Carbonate Reservoir in the Middle East
title_sort single well dynamic permeability splitting algorithm and classification evaluation a case study of a super thick carbonate reservoir in the middle east
topic super-thick reservoir
well test
PLT
dynamic permeability
SPI
url https://www.frontiersin.org/articles/10.3389/fenrg.2022.921669/full
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