Science & Technology Review >

2014 , Vol. 32 >Issue 30: 67 - 73

DOI: https://doi.org/10.3981/j.issn.1000-7857.2014.30.012

Identification Method of Gas and Water Layers in Extra Shallow Unconsolidated Formation: Taking the Heidimiao Reservoir in An Area of Daqing as an Example

  • ZHANG Wei ,
  • ZHANG Jianfeng ,
  • ZHAO Yuqiu ,
  • WANG Boyun
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  • 1. College of Chemistry and Chemical Engineering, Northeast Petroleum University, Daqing 163318, China;
    2. No. 9 Oil Production Company, Daqing Oilfield Company Ltd., Daqing 163853, China;
    3. College of Earth Science, Northeast Petroleum University, Daqing 163318, China

Received date: 2014-05-26

  Revised date: 2014-08-10

  Online published: 2014-11-14

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Abstract

The compaction degree of the Heidimiao reservoir in a Daqing area is very low, the digenesis is poor, but the physical properties of the formation are good. Therefore the electrical characteristics of the gas layer are so close to those of the water layer that it is difficult to distinguish two kinds of reservoir layers. In order to solve this problem, this paper proposes to take the neutron logging as the sensitive curve of the gas layer based on the analysis of the relations between above mentioned properties. With the neutron logging curve as the central key, the cross-plots of the deep lateral resistivity, the density, the acoustic travel time are established to determine the lower limitation standard of the gas zone interpretation. According to the different matching relationships between the resistivity and the acoustic travel time or the spontaneous potential and, alternatively, between the neutron logging and the density, or the acoustic travel time in gas and water layers, a comprehensive and qualitative method is proposed to determine the gas layer by using the multi-curve overlapping combined with the gas logging data. In order to further enhance the gas response characteristics, the comprehensive judgment parameters are calculated by the multi-curve to interpret the gas layer quantitatively. Better results are achieved in distinguishing gas and water layers by using the cross- plots between these parameters and the spontaneous potential curve. The interpretation coincidence rate of the gas layer reaches 84.4% according to the verification by the results of 15 gas test wells' interpretation and their gas testing conclusions.

Key words： extra shallow unconsolidated formation; gas and water layers; curve overlapping; lower limitation standard; gas logging analysis

Cite this article

ZHANG Wei , ZHANG Jianfeng , ZHAO Yuqiu , WANG Boyun . Identification Method of Gas and Water Layers in Extra Shallow Unconsolidated Formation: Taking the Heidimiao Reservoir in An Area of Daqing as an Example[J]. Science & Technology Review, 2014 , 32(30) : 67 -73 . DOI: 10.3981/j.issn.1000-7857.2014.30.012

References

[1] 张秀丽, 张桂明, 杨树合. 利用测井曲线重叠法识别浅层气[J]. 内蒙古石油化工, 2013(6): 141-143. Zhang Xiuli, Zhang Guiming, Yang Shuhe. Identifying shallow natural gas by overlap method of well logging curve[J]. Inner Mongolia Petrochemical Industry, 2013(6): 141-143.
[2] 马全华, 李铁军. 套管内时间推移中子测井技术识别浅层气[J]. 石油地质与工程, 2007, 21(6): 62-64. Ma Quanhua, Li Tiejun. Identifying shallow natural gas by time-lapse neutrom-gamma logging in casing well[J]. Petroleum Geology and Engineering, 2007, 21(6): 62-64.
[3] 闵忠顺, 潘景灏, 马全华, 等. 浅层气挖潜技术研究与应用[J]. 特种油气藏, 2007, 14(2): 76-78. Min Zhongshun, Pan Jinghao, Ma Quanhua, et al. Study and application of shallow gas potential tapping[J]. Special Oil and Gas Reservoirs, 2007, 14(2): 76-78.
[4] 郑建东, 杨学峰, 朱建华, 等. 徐深气田火山岩储层气水层识别方法研究[J]. 测井技术, 2006, 30(6): 516-518. ZhengJiandong,YangXuefeng,ZhuJianhua,etal.Gas-water identification of volcanic layer reservoir in Xushen gas field[J]. Well Logging Technology, 2006, 30(6): 516-518.
[5] 张野, 郎东升, 耿长喜, 等. 大庆探区复杂油气水层录井综合识别与评价新技术[J]. 勘探技术, 2004(4): 43-48. Zhang Ye, Lang Dongsheng, Geng Changxi, et al. New log technology for identification and assessment of complicated oil, gas and water layers in Daqing exploration area[J]. Exploration Techniques, 2004(4): 43-48.
[6] 林春, 邓继新. SPSS统计分析软件在气水层识别中的应用[J]. 微计算机信息, 2009, 25(9-1): 56-57. Lin Chun, Deng Jixin. Application of SPSS to identify the gas zone and water layer[J]. Microcomputer Information, 2009, 25(9-1): 56-57.
[7] 邓小力. 利用多元统计判别法预测油气的效果[J]. 石油地球物理勘探, 1991, 26(3): 385-394. Deng Xiaoli. The effcet to predict oil and gas by using multivariate statistical analysis[J]. Oil Geophysical Prospecting, 1991, 26(3): 385-394.
[8] 张文宾, 林景晔, 刘概琴, 等. 对应分析油气水层识别方法及应用[J].大庆石油地质与开发, 2002, 21(6): 8-9. Zhang Wenbin, Lin Jingye, Liu Gaiqin, et al. Method of correspondent analysis and its application to determine oil, gas and water formations[J]. Petroleum Geology & Oilfield Development in Daqing, 2002, 21(6): 8-9.
[9] 田冷, 何顺利. 基于改进人工神经网络的气水层识别技术[J]. 测井技术, 2009, 33(5): 449-452. Tian Leng, He Shunli. Gas and water layers identification based on improved neural network model[J]. Well Logging Technology, 2009, 33 (5): 449-452.
[10] 钟大康, 张国喜. 人工神经网络在录井油气水层识别中的应用[J]. 西南石油学院学报, 2002, 24(3): 28-30. Zhong Dakang, Zhang Guoxi. Application of artificial neural network on the oil-gas-water recognization in the well logging[J]. Journal of Southwest Petroleum Institute, 2002, 24(3): 28-30.
[11] 李榕, 钟仪华. 基于最小二乘支持向量机的油气水层识别方法[J]. 天然气勘探与开发, 2009, 32(3): 15-18. Li Rong, Zhong Yihua. Identification method of oil, gas, water layer based on least square support vector machine[J]. Natural Gas Exploration & Development, 2009, 32(3): 15-18.
[12] 侯平, 史卜庆, 郑俊章, 等. 利用气测录井简易参数法判别油、气、水层[J]. 录井工程, 2009, 20(1): 21-24. Hou Ping, Shi Buqing, Zheng Junzhang, et al. A simple method for the determination of water- oil- gas layer with gas logging parameters[J]. Mud Logging Engineering, 2009, 20(1): 21-24.
[13] 邸维振, 潘和平, 韩浩东, 等. 奇异值分解法在建立气水层识别模型中的应用[J]. 工程地球物理学报, 2009, 6(2): 229-234. Di Weizhen, Pan Heping, Han Haodong, et al. Application of SVD method of the identifying model of establishing gas- water- bearing formation[J]. Chinese Journal of Engineering Geophysics, 2009, 6(2): 229-234.
[14] 徐静, 杨宇, 刘建国, 等. 测井资料识别子洲气田气水层方法研究[J]. 录井工程, 2012, 23(2): 29-32. Xu Jing, Yang Yu, Liu Jianguo, et al. Study on the identification method of gas and water zone by using well logging data in Zizhou Gasfield[J]. Mud Logging Engineering, 2012, 23(2): 29-32.
[15] 张延宇, 康惠. 几种气层识别方法的原理及应用[J]. 吐哈油气,1998, 1(3): 16-24. Zhang Yanyu, Kang Hui. The principle and application of several gas identification method[J]. Tuha Oil and Gas, 1998, 1(3): 16-24.
[16] 张秀丽, 张桂明, 杨树合, 等. 地震油气检测技术在大港油田浅层气识别中的应用[J]. 天然气地球科学, 2013, 24(4): 815-820. Zhang Xiuli, Zhang Guiming, Yang Shuhe, et al. Seismic hydrocarbon detection technique and its application in identification of shallow gas in Dagang Oilfield[J]. Natural Gas Geoscience, 2013, 24(4): 815-820.
[17] 程洪亮, 范晓敏, 董建刚. 利用模式识别技术识别致密砂岩含气层[J]. 世界地质, 2007, 26(3): 381-384. Cheng Hongliang, Fan Xiaomin, Dong Jiangang. Distinguishing gasbearing formation from compact sandstone with pattern recognization[J]. Global Geology, 2007, 26(3): 381-384.
[18] 王秀芹, 马龙, 石强, 等. 疏松砂岩流体因子气层识别方法研究及应用[J]. 内蒙古石油化工, 2011(9): 178-180. Wang Xiuqin, Ma Long, Shi Qiang, et al. Research and application of gas reservoir identification method with fluid factor in unconsolidated sandstone[J]. Inner Mongolia Petrochemical Industry, 2011(9): 178-180.
[19] 李瑞, 杜奉屏, 肖崇礼. 用ISODATA统计法识别碳酸盐岩气水层[J].石油物探, 1990, 29(1): 99-113. Li Rui, Du Fengping, Xiao Chongli. Picking out the gas-water bearing formation from carbonate rock using the isodata statistics scheme[J]. Geophysical Prospecting for Petroleum, 1990, 29(1): 99-113.
[20] 陈世加, 马力宁, 张祥, 等. 油气水层的地球化学识别方法[J]. 天然气工业, 2001, 21(6): 39-41. Cheng Shijia, Ma Lining, Zhang Xiang, et al. Geochemical methods of identifying oil reservoir gas reservoir and water layer[J]. Natural Gas Industry, 2001, 21(6): 39-41.
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