Journal of Jilin University(Earth Science Edition) ›› 2016, Vol. 46 ›› Issue (3): 930-937.doi: 10.13278/j.cnki.jjuese.201603307

Previous Articles     Next Articles

Gas-Bearing Logging Features and Quantitative Evaluation for Tight Sandstone Reservoirs

Pan Baozhi1, Jiang Bici1,2, Liu Wenbin1, Fang Chunhui1, Zhang Rui1   

  1. 1. College of GeoExploration Science and Technology, Jilin University, Changchun 130026, China;
    2. Xi'an Research Institute of China Coal Technology and Engineering Group Corp, Xi'an 710077, China
  • Received:2015-09-09 Online:2016-05-26 Published:2016-05-26
  • Supported by:

    Supported by the National Nature Science Foundation (41174096) and the 12th Five-Year Major Projects(2011ZX05040-002)

PDF (PC)

534

Abstract:

Tight sandstone reservoirs always show the characteristics, such as, low porosity, low permeability, and strong heterogeneity.The logging response characteristics corresponding to gas-bearing reservoir is very complex, so that the identification and evaluation of gas are difficult and it always shows multiple solution. Conventional well log is used for qualitative evaluating the gas-bearing characteristics.However, the classification model in intelligent recognition method still belongs to qualitative evaluation, which makes the traditional well log difficult to quantitatively evaluate gas.We use the core, geology, gas testing and conventional logging data to analyze the gas characteristics by cross-plot method and build two indexes, which can be used for qualitatively evaluating the gas containing. The workflow includes the generalized regression neural network (GRNN)that reconstructs gas and water indication curve to quantitatively evaluate the gas containing. Finally, we used the index method and GRNN curve reconstruction method to evaluate the tight sandstone gas in the Sulige area.The results show the good application effects.

Key words: tight sandstone, gas-bearing quantitativeevaluation, curve reconstruction, GRNN, index method, Sulige area

CLC Number: 

  • P631.8

[1] 黄布宙, 潘保芝, 李舟波. 大庆徐家围子地区深部致密砂砾岩气层识别[J]. 吉林大学学报(地球科学版), 2003, 33(4):490-494. Huang Buzhou, Pan Baozhi, Li Zhoubo. The Recognition of Gas-Bearing Tight Sandstone Gravel Reservoirs at the Deep of Xujiaweizi in Daqing[J]. Journal of Jilin University (Earth Science Edition), 2003, 33(4):490-494.

[2] 董建刚, 范晓敏. 致密砂岩孔隙度计算方法[J]. 吉林大学学报(地球科学版), 2006,36(增刊1):193-196. Dong Jiangang,Fan Xiaomin.A Method to Calculate Porosity of Compact Sandstone[J].Journal of Jilin University (Earth Science Edition),2006,36(Sup. 1):193-196.

[3] 张海涛. 苏里格地区有效储层测井识别方法研究[D]. 西安:西北大学, 2010. Zhang Haitao.Well Logging Identification Method of Gas Reservoir in Sulige Field[D]. Xi'an:Northwest University,2010.

[4] 王飞. 交叉偶极声波测井资料处理及在致密气层评价中的应用研究[D]. 长春:吉林大学, 2013. Wang Fei. Research on the Application and Evaluation of Cross-Dipole Logging to Interpretation of Tight Reaervoirs[D]. Changchun:Jilin University,2013.

[5] 李云省, 曾渊奇, 田建波, 等. 致密砂岩气层识别方法研究[J]. 西南石油学院学报, 2003, 25(1):25-28. Li Yunsheng,Zeng Yuanqi,Tian Jianbo,et al, A Study on the Recognition Method of Tight Sandstone Gas Layers[J].Journal of Southwest Petroleum Institute,2003, 25(1):25-28.

[6] 张静. 苏里格地区致密砂岩含气性评价及产能预测[D]. 青岛:中国石油大学(华东), 2011. Zhang Jing. The Evaluation of Gas Characteristics of Tight Sandstone and Productivity Prediction of Sulige Gas Field[D].Qingdao:China University of Petroleum(East China), 2011.

[7] 庄华. 苏里格致密砂岩气层压裂产能测井预测方法研究[D].长春:吉林大学,2013. Zhuang Hua. Research on Gas Productivity Prediction Based on Logs for Post-Frac Tight Sandstone Reservoirs in Sulige Area[D].Changchun:Jilin University,2013.

[8] 童凯军,单钰铭,廖特权,等.基于统计学的测井储层产能分级预测研究[J]. 天然气勘探与开发,2008,31(2):40-43. Tong Kaijun,Shan Yuming,Liao Tequan,et al. Based on the Statistical Classification Logging Reservoir Capacity Forecast[J]. Natural Gas Exploration and Development, 2008,31(2):40-43.

[9] 潘保芝, 石玉江, 蒋必辞, 等. 致密砂岩气层压裂产能及等级预测方法[J]. 吉林大学学报(地球科学版), 2015, 45(2):649-654. Pan Baozhi, Shi Yujiang, Jiang Bici, et al. Research on Gas Yield and Level Prediction for Post-Frac Tight Sandstone Reservoirs[J].Journal of Jilin University (Earth Science Edition),2015,45(2):649-654.

[10] 李小强,赵彦超. 基于MATLAB的广义回归神经网络的低渗特低渗砂岩气层产能预测[J]. 内蒙古石油化工, 2009(17):138-141. Li Xiaoqiang, Zhao Yanchao.MATLAB-Based GRNN Hypotonic Low Permeability Sandstone Gas Production Forecast[J].Inner Mongolia Petrochemical Industry,2009(17):138-141.

[11] 李霞, 石玉江, 王玲, 等. 致密砂岩气层测井识别与评价技术:以苏里格气田为例[J]. 天然气地球科学, 2013, 24(1):62-68. Li Xia,Shi Yujiang,Wang Ling,et al.Logging Identification and Evaluation Technique of Tight Sandstone Gas Reservoirs:Taking Sulige Gas Field as an Example[J].Natural Gas Geoscience,2013,24(1):62-68.

[12] 邢晓哲,骆伟. GRNN算法在电力系统状态估计中的应用[J]. 黑龙江电力,2011,33(1):50-52. Xing Xiaozhe, Luo Wei. State Estimation in Power System Based on GRNN Algorithm[J]. Heilongjiang Electric Power,2011,33(1):50-52.
[1] Zhang Kejia, Xu Yixing, Liu Zongbao, Tian Feng, Zhao Yuwu, Liu Tao, Zhang Yan, He Youzhi. Hybrid Intelligence-Based Calculation of Plane Porosity in Tight Sandstone Thin Sections [J]. Journal of Jilin University(Earth Science Edition), 2025, 55(5): 1774-1784.
[2] Zhang Ke, Dou Songjiang, Gao Huanhuan, Shi Shi, Li Tao, Tang Ge, Yang Bing. Application of Spectral Recovery and Waveform Inversion in Thin Reservoir Prediction in Daning-Jixian Block [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(6): 2142-2153.
[3] Song Linke, Liu Sibing, Zeng Qinggao, Zhou Dong, Tang Dahai, Wang Jinxi.

Genetic Mechanism of Relatively High-Quality Reservoirs of Middle Jurassic Shaximiao Formation Tight Sandstone in  Transition Zone Between  Central and Western Sichuan Basin [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(2): 371-388.

[4] Liu Shuo, Wang Fei, Yu Rui, Gao Jianxing, Shi Hao, Zhu Yushuang. Micro Pore Throat Structure and Fractal Characteristics of Tight Sandstone Reservoir#br# [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(1): 96-107.
[5] Yu Guangzhan, Wang Jian, Wu Nan, Xu Qinghai, Liu Xianfeng, Fu Qingmeng. Micropore Structure Evaluation of Chang 7 Tight Sandstone in Zhijing-Ansai Area, Ordos Basin#br# [J]. Journal of Jilin University(Earth Science Edition), 2024, 54(1): 83-95.
[6] He Ting, Zhou Ning, Wu Xiaoyu. Thickness Prediction of Reservoir Effective Sand Body by Deep Fully Connected Neural Network [J]. Journal of Jilin University(Earth Science Edition), 2023, 53(4): 1262-1274.
[7] Li Yanze, Shang Lin, Wang Qunhui, Sun Yanchun, Xing Jianpeng, Jiang Dongliang, Chen Hao . Comprehensive Classification of Highly Heterogeneous Low Permeability-Tight Sandstone Reservoir in Faulted Basin：Taking Nanpu Sag of Bohai Bay Basin as an Example [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(6): 1830-1843.
[8] Zhang Liya, Xu Wen, Shen Yanjie.  Formation Mechanism and the Main Controlling Factors of Deep Tight Sandstone Gas Reservoir in Southern Songliao Basin [J]. Journal of Jilin University(Earth Science Edition), 2022, 52(5): 1707-1717.
[9] Zhang Dazhi, Chu Lilan, Zhou Xiang, Wang Xiaolian, Li Xin. Diagenesis and Diagenesis Facies of Tight Gas Reservoir of Shahezi Formation, in Xujiaweizi Fault Depression of North Songliao Basin [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(1): 22-34.
[10] Wu Meng, Qin Yong, Wang Xiaoqing, Li Guozhang, Zhu Chao, Zhu Shifei. Fluid Mobility and Its Influencing Factors of Tight Sandstone Reservoirs in China [J]. Journal of Jilin University(Earth Science Edition), 2021, 51(1): 35-51.
[11] Cui Jingwei, Zhu Rukai. Mechanism of Strong Calcium Cementation in Tight Sandstone and Its Significance:A Case Study on Triassic Chang 7 Oil Formation of Yanchang Formation in Ordos Basin [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(4): 957-967.
[12] Wu Meng, Zhu Chao, Qin Yunhu, Qin Yong, Shen Jian, Zhao Heng, Zhu Shifei. Geological Evaluation Method of Tight Sandstone Gas Exploitation Potential in Shanxi Formation in Linxing Area [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(4): 991-1002.
[13] Wang Fuyong, Cheng Hui. Characterization of Pore Structure and Petrophysical Properties of Tight Sandstone of Yanchang Formation, Ordos Basin [J]. Journal of Jilin University(Earth Science Edition), 2020, 50(3): 721-731.
[14] Li Hongjin, Zhang Daoyong, Ge Yunjin, Wang Yichao, Xu Gang. Quantitative Identification of Diagenetic Facies of Tight Sandstone Reservoirs and Its Control on Oil-Bearing Property: A Case Study of Chang 7,Ganquan-Fuxian [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(6): 1529-1539.
[15] Ji Wei. Gas Water Relative Flow of Tight Sandstone Gas Reservoirs and Its Influencing Factors: Case Study of Member 8 of Permian Xiashihezi Formation and Member 1 of Permian Shanxi Formation in Shaan Well 234-235 Area of Sulige Gas-Field in Ordos Basin [J]. Journal of Jilin University(Earth Science Edition), 2019, 49(6): 1540-1551.
Viewed
Full text


Abstract

Cited
  Shared   
  Discussed   
[1] You Minxin，Liu Jianmin. Application Status and Progress of Isotopic Geochemistry in Research of Emeishan Large Igneous Province (ELIP)[J]. Journal of Jilin University(Earth Science Edition), 2014, 44(4): 1231 -1243 .
[2] YANG Chun-mei, LI Hong-qi,LU Da-wei,ZHANG Fang-li,GAO Yuan,SHAO Ying-chao. The Relationship Between Rock Resistivity and Water Saturation in WaterDriveOil and OilDriveWater Process[J]. J4, 2005, 35(05): 667 -671 .
[3] ZHU Hong-chen,ZHANG Jiong-fei,QUAN Heng. Two Stages of Mesozoic Lithogenesis and Mineralization in Daxing’anling Mountains[J]. J4, 2005, 35(04): 436 -0442 .
[4] ZHU Jian-wei, ZHAO Gang, LIU Bo, GUO Wei, CHENG Jun. Identification Technology and It’s Application of Well-Logging About Oil Shale[J]. J4, 2012, 42(2): 289 -295 .
[5] CHEN Li, LIANG Hai-an，ZHANG Wen-juan，RONG Fan. Application of Fuzzy Mathematics in Division of Engineering Geo-Environment of Cities-An Example of Fushun City[J]. J4, 2008, 38(5): 837 -0840 .
[6] GAO Gui-mei,SU Ke,WANG Wen-ying,GAN Shu-cai,LIU Zhao-jun. Study on Rare Earth and Trace Elements in Oil Shale Samples, Huadian, Jilin Province[J]. J4, 2006, 36(6): 974 -0979 .
[7] WU Kong-yun,JIANG Zhong-cheng,YE Ye. Influence of Different Plant Communities On Erosion Rates of Limestone Rock Blocks[J]. J4, 2007, 37(5): 967 -0971 .
[8] ZHOU Yan-zhang, CHI Bao-ming, LIU Zhong-pei. Mode of Structural Control about Groundwater Pour-in Mechanism in Xiadian Gold Deposits in Shandong Province[J]. J4, 2008, 38(2): 255 -0260 .
[9] ZHANG Yuan, LIU Lian-deng,SUN Jing-gui,CHEN Guo-hua,ZHANG Hong-xi,YAN Fu-chuan, YANG Kai-chun. Two Phase Overprinting Mineralization in Huangbuling Gold Deposit in Northwestern Jiaodong Peninsula[J]. J4, 2008, 38(1): 21 -0026 .
[10] LU Cheng-peng, SHU Long-cang, YUAN Li-bo, ZHANG Rong-rong, HUANG Bi-juan, WANG Bin-bin. Determination of Hydrogeologic Parameters of Karst Aquifer Based on Tracer Test[J]. J4, 2009, 39(4): 717 -721 .
Copyright © Journal of Jilin University(Earth Science Edition), All Rights Reserved.
Tel: +86-431-88502374；13756165364　E-mail: xuebao1956@jlu.edu.cn
Powered by Beijing Magtech Co. Ltd