Integrated workflow in 3D geological model construction for evaluation of CO2 storage capacity of a fractured basement reservoir in Cuu Long Basin, Vietnam

被引:94
作者
Hung Vo Thanh [1 ]
Sugai, Yuichi [1 ]
Nguele, Ronald [1 ]
Sasaki, Kyuro [1 ]
机构
[1] Kyushu Univ, Fac Engn, Dept Earth Resources Engn, Resources Prod & Safety Engn Lab,Nishi Ku, 744 Motooka, Fukuoka, Fukuoka 8190395, Japan
关键词
Artificial neural networks; CO2 storage capacity calculation; Integrated 3D geological model; Fractured basement reservoir; Cuu Long Basin; ENHANCED OIL-RECOVERY; CARBON-DIOXIDE; SITE SELECTION; SEQUESTRATION; POROSITY; CO2-EOR; MEDIA; PERMEABILITY; PERSPECTIVE; ATTRIBUTES;
D O I
10.1016/j.ijggc.2019.102826
中图分类号
X [环境科学、安全科学];
学科分类号
08 ; 0830 ;
摘要
Carbon dioxide (CO2) capture, utilization, and storage (CCUS) have been proposed as a possible technique to mitigate climate change. In this vein, CO2 storage through enhanced oil recovery (EOR) in depleted hydrocarbon reservoirs is touted as a most effective approach because it synergistically increases oil production and enables permanent sequestration into the reservoirs. However, the construction of a reasonable 3D geological model for this storage reservoir is a major challenge. Thus, this study presents an efficient workflow for constructing an accurate geological model for the evaluation of CO2 storage capacity in a fractured basement reservoir in the Cuu Long Basin, Vietnam. Artificial neural network (ANN) has been used to predict porosity and permeability values through seismic attributes and well log data. The predicted values were selected using high correlation factors with well log data. Subsequently, the Sequential Gaussian Simulation and co-kriging methods were applied to generate a 3D static geological model by using azimuth and dip parameters. Finally, drill stem test matching was performed to validate the accuracy of the porosity and permeability models through dynamic simulation. A validation 3D reservoir model, which integrates geophysical, geological, and engineering data from fractured basement formation in Cuu Long Basin, was further constructed to calculate theoretical CO2 storage capacity. As a result, the calculated storage capacity for the fractured basement reservoir ranged from 7.02 to 99.5 million metric tons. These estimated results demonstrate that fractured basement reservoir has a combined potential for CO2 storage and EOR in the Cuu Long Basin.
引用
收藏
页数:14
相关论文
共 56 条
[21]   Injectivity Evaluation for Offshore CO2 Sequestration in Marine Sediments [J].
Dai, Zhenxue ;
Zhang, Ye ;
Stauffer, Philip ;
Xiao, Ting ;
Zhang, Mingkan ;
Ampomah, William ;
Yang, Changbing ;
Zhou, Youqin ;
Ding, Mei ;
Middleton, Richard ;
Soltanian, Mohamad Reza ;
Bielicki, Jeffrey M. .
13TH INTERNATIONAL CONFERENCE ON GREENHOUSE GAS CONTROL TECHNOLOGIES, GHGT-13, 2017, 114 :2921-2932
[22]   An integrated geology and reservoir engineering approach for modelling of a giant fractured basement reservoir [J].
Dang, Cuong T. Q. ;
Chen, Zhangxing ;
Nguyen, Ngoc T. B. ;
Phung, Thuoc H. .
INTERNATIONAL JOURNAL OF OIL GAS AND COAL TECHNOLOGY, 2015, 10 (01) :39-59
[23]   3D fracture modeling in Parsi oil field using artificial intelligence tools [J].
Darabi, H. ;
Kavousi, A. ;
Moraveji, M. ;
Masihi, M. .
JOURNAL OF PETROLEUM SCIENCE AND ENGINEERING, 2010, 71 (1-2) :67-76
[24]  
Du Hung N., 2004, P AAPG INT C, P21
[25]  
Du Y., 2003, SPE ANN TECHN 636 C, P5, DOI [10.2118/84445-637MS, DOI 10.2118/84445-637MS]
[26]   A Model To Estimate Carbon Dioxide Injectivity and Storage Capacity for Geological Sequestration in Shale Gas Wells [J].
Edwards, Ryan W. J. ;
Celia, Michael A. ;
Bandilla, Karl W. ;
Doster, Florian ;
Kann, Cynthia M. .
ENVIRONMENTAL SCIENCE & TECHNOLOGY, 2015, 49 (15) :9222-9229
[27]   Integrating Artificial Neural Networks Technique and Geostatistical Approaches for 3D Geological Reservoir Porosity Modeling with an Example from One of Iran's Oil Fields [J].
Esmaeilzadeh, Sh. ;
Afshari, A. ;
Motafakkerfard, R. .
PETROLEUM SCIENCE AND TECHNOLOGY, 2013, 31 (11) :1175-1187
[28]   CO2-EOR and storage design optimization [J].
Ettehadtavakkol, Amin ;
Lake, Larry W. ;
Bryant, Steven L. .
INTERNATIONAL JOURNAL OF GREENHOUSE GAS CONTROL, 2014, 25 :79-92
[29]   Discrete Fracture Network Modelling in a Naturally Fractured Carbonate Reservoir in the Jingbei Oilfield, China [J].
Fang, Junling ;
Zhou, Fengde ;
Tang, Zhonghua .
ENERGIES, 2017, 10 (02)
[30]   Two scenarios for carbon capture and storage in Vietnam [J].
Ha-Duong, Minh ;
Hoang Anh Nguyen-Trinh .
ENERGY POLICY, 2017, 110 :559-569