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Global Geology 2020, 23(1) 32-37 DOI:
10.3969/j.issn.1673-9736.2020.01.04 ISSN: 1673-9736 CN: 22-1371/P |
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| 论文 |
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Monte Carlo simulation for pulsed neutron-neutron loggingin fractured and cavernous carbonate formation |
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LIU Lipan1, MO Xiuwen1, ZHANG Youshuo2, ZHANG Weifeng3 |
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1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
2. Sinopec Northeast Oilfield Branch Company, Changchun 130060, China;
3. Research Institute of Sinopec Northwest Oilfield branch, Urumchi 830000, China |
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摘要：
The influence of carbonate formation on Pulsed Neutron logging (such as Pulsed Neutron-Neutron logging) is quite different from that of sandstone due to the complexity of reservoir architecture and the development of fracture in carbonate reservoir. To study the factors affecting Pulsed Neutron-Neutron (PNN) logging in carbonate formation, the responses on fracture or cave are simulated by Monte Carlo method, getting the relationships among the macroscopic capture cross section (Σ), the count ratio of the thermal neutron at far spacing and near spacing detectors (RATIO), the fracture porosity, oil-bearing and shale content of fracture. The results show that PNN logging can be used to detect caves, and there exist linear relationships among the macroscopic capture cross section (Σ), the count ratio (RATIO) and the above factors. The research findings in this paper provides theoretical basis for the interpretation and data correction of the PNN logging in carbonate reservoirs. |
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关键词：
carbonate formation
PNN logging
macroscopic capture cross section
RATIO
Monte Carlo simulation
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Monte Carlo simulation for pulsed neutron-neutron loggingin fractured and cavernous carbonate formation |
|
|
LIU Lipan1, MO Xiuwen1, ZHANG Youshuo2, ZHANG Weifeng3 |
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1. College of Geo-Exploration Science and Technology, Jilin University, Changchun 130026, China;
2. Sinopec Northeast Oilfield Branch Company, Changchun 130060, China;
3. Research Institute of Sinopec Northwest Oilfield branch, Urumchi 830000, China |
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Abstract:
The influence of carbonate formation on Pulsed Neutron logging (such as Pulsed Neutron-Neutron logging) is quite different from that of sandstone due to the complexity of reservoir architecture and the development of fracture in carbonate reservoir. To study the factors affecting Pulsed Neutron-Neutron (PNN) logging in carbonate formation, the responses on fracture or cave are simulated by Monte Carlo method, getting the relationships among the macroscopic capture cross section (Σ), the count ratio of the thermal neutron at far spacing and near spacing detectors (RATIO), the fracture porosity, oil-bearing and shale content of fracture. The results show that PNN logging can be used to detect caves, and there exist linear relationships among the macroscopic capture cross section (Σ), the count ratio (RATIO) and the above factors. The research findings in this paper provides theoretical basis for the interpretation and data correction of the PNN logging in carbonate reservoirs. |
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Keywords:
carbonate formation
PNN logging
macroscopic capture cross section
RATIO
Monte Carlo simulation
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收稿日期 2019-10-25 修回日期 2019-12-20 网络版发布日期 |
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DOI: 10.3969/j.issn.1673-9736.2020.01.04 |
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基金项目:
Supported by Project of Sinopec Northwest Oilfield Branch (No. ky2019s023). |
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通讯作者: ZHANG Youshuo |
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作者简介: |
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作者Email: 1013820047@qq.com |
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| 参考文献： |
Brackenridge R, Ansari R, Chace D, et al. 2011. Evaluation of new multi-detector pulsed neutron logging techniques to monitor mature North Sea reservoir saturations//SPWLA 52nd Annual Logging Symposium, 14-18 May, Colorado Springs, Colorado. Society of Petrophysicists and Well-Log Analysts.
Cai X B, Shen H T. 2003. The Application of the Monte Carlo method and MCNP in nuclear well logging. Ship Science and Technology, 25(A1):58-61. (in Chinese with English abstract)
Dai H Y, Yang H Z. 1996. Calculation of the thickness of fast-neutrons shield with the Monte Carlo method. Journal of National University of Defense Technology, 18(1):129-134. (in Chinese with English abstract)
Huang L J. 2000. Nuclear logging principle. Dongying:University of Petroleum Press, 140-155. (in Chinese)
Mimoun J G, Torres-Verdin C, Preeg W E. 2010. Quantitative interpretation of pulsed neutron capture logs in thinly-bedded formations. Perth, Australia//SPWLA 51st Annual Logging Symposium, 19-23 June, Perth, Australia. Society of Petrophysicists and Well-Log Analysts.
Pei L C, Zhang X Z. 1986. The Monte Carlo method and its application in particle transport problems. Beijing:Science Press, 550. (in Chinese)
X-5 Monte Carlo Team, Diagnostics Applications Group & Los Alamos National Laboratory. 2003. MCNP-A General Monte Carlo N-Particle Transport Code Version 5,LA-CP-03-0245.
Yang H Z, Yao Z E. 1997. Monte Carlo simulation of fast neutrons shielded by natural iron. Journal of Lanzhou University (Natural Sciences), 33(4):60-66. (in Chinese with English abstract)
Zhang Y S. 2005. Analysis of adaptability of PNN well logging technology in Tuha oilfield. Offshore Oil, 25(4):74-79. (in Chinese with English abstract)
Zhang F, Wang X G. 2009. Numerical simulation for influence factor of pulsed neutron-neutron logging. Journal of China University of Petroleum, 33(6):46-51. (in Chinese with English abstract)
Zhao G H, Wang Z M, Dong S X, et al. 2005. Pulsed neutron-neutron logging technology. China Petroleum Machinery, 33(8):75-78. (in Chinese) |
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