地球科学进展

地球科学进展 ›› 2018, Vol. 33 ›› Issue (11): 1154 -1160. doi: 10.11867/j.issn.1001-8166.2018.11.1154.

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基于曲线重构的缝洞型碳酸盐岩储层测井识别研究——以南图尔盖盆地Karabulak油田Pz层为例 *
陈科贵 1( ), 刘思序 1, *( ), 王兆峰 2, 张翼飞 2   
  1. 1.西南石油大学地球科学与技术学院,四川 成都 610500
    2.中国石油国际勘探开发公司,北京 100032
  • 收稿日期:2018-07-09 修回日期:2018-08-28 出版日期:2018-11-20
  • 通讯作者: 刘思序 E-mail:chenkegui@21cn.com;1138128439@qq.com
  • 基金资助:
    国家自然科学基金项目“四川盆地油钾兼探的地球物理评价方法研究”(编号:41372103)资助.

A Logging Identification Method for Fractured Vuggy Carbonate Reservoirs Based on Curve Reconstruction: A Case Study from the Pz Formation in Karabulak Oil Field in the South Turgai Basin *

Kegui Chen 1( ), Sixu Liu 1, *( ), Zhaofeng Wang 2, Yifei Zhang 2   

  1. 1.School of Geoscience and Technology, Southwest Petroleum University, Chengdu 610500, China
    2.China Petroleum International Exploration and Development, Beijing 100032,China
  • Received:2018-07-09 Revised:2018-08-28 Online:2018-11-20 Published:2018-12-21
  • Contact: Sixu Liu E-mail:chenkegui@21cn.com;1138128439@qq.com
  • About author:

    First author:Chen Kegui(1959-), male, Zigong City, Sichuan Province, Professor. Research areas include petroleum geology, technology of well logging reservoir evaluation and survey research potash in Sichuan. E-mail: chenkegui@21cn.com

  • Supported by:
    Foundation item:Project supported by the National Natural Science Foundation of China "The study on geophysical evaluation method of oil and potash in Sichuan Basin"(No.41372103).
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南图尔盖盆地Karabulak油田基底碳酸盐岩储层结构复杂、孔隙空间类型多样、非均质性极强,利用单一的常规测井方法对该类储层进行识别一直是测井解释的难点。利用深侧向电阻率、声波时差、密度、补偿中子等多条常规测井曲线的响应特征进行重构,并结合改进后的曲线变化率法,总结出了碳酸盐岩裂缝型储层、孔洞型储层和缝洞型储层在常规测井曲线上的响应规律,提出了一种针对研究区碳酸盐岩缝洞型储层的测井评价新方法。应用这一方法对研究区的X1、X2和X3井开展储层划分与评价,结果表明研究区碳酸盐岩储层类型主要为缝洞型。通过与试油结论和成像测井识别结果进行对比,研究提出的方法准确识别出了裂缝、孔洞发育的地层,显著提高了对研究区缝洞识别的效率和精度。

关键词: 碳酸盐岩, 缝洞识别, 常规测井, 资料处理, 储层划分

The basement carbonate reservoirs in the Karabulak oil field of the South Turgai Basin have the characteristics of complex structure, variety of pore type and strong heterogeneity. The identification of such reservoirs by single conventional logging method is always a difficult point in logging interpretation. In this paper, the response characteristics of conventional logging curves such as deep lateral resistivity, acoustic time difference, density and compensated neutron were used for reconstruction. Combined with the improved method of curve change rate, the response laws of fractured carbonate reservoirs, pore-cave reservoirs and fractured vuggy reservoirs on conventional logging curves were summed up, respectively. And a new logging evaluation method for carbonate fractured vuggy reservoirs in the Karabulak oil field of South Turgai Basin was proposed. This method was used to identify reservoirs in X1, X2 and X3 wells of this oilfield. The results show that the carbonate reservoirs in this area are mainly fractured-vuggy type. Compared with the oil test conclusion and imaging logging, the method proposed in this paper accurately divided the reservoir type. And the efficiency and accuracy of the reservoir division have been greatly improved.

Key words: Carbonate reservoirs, Fracture-cavity identification, Conventional logging, Data processing, Reservoir division.

中图分类号: 

表1 改进前后曲线变化率对比
Table 1 Comparison of curve change rate
井号 深度/m Rt/
(Ω·m)		 △Xi K 成像
结论
X6 1 280.01 23.75 15.48 0.65 裂缝
X6 1 310.95 43.39 37.46 0.86 裂缝
X9 1 277.72 31.02 24.04 0.78 裂缝
X9 1 281.23 22.17 25.46 1.15 裂缝
X6 1 320.09 195.12 30.07 0.15 致密层
X13 1 225.45 149.43 32.78 0.22 致密层
X13 1 240.23 90.54 20.06 0.22 致密层
X13 1 243.58 80.99 14.19 0.18 致密层
表2 样本数据统计表
Table 2 Statistical results of sample data
井号 深度/m Rt/(Ω·m) CNL/% AC/(μs/m) DEN/(g/cm3) F K 成像结论
X13 1 227.28 34.26 16.12 252.81 2.63 0.46 0.65 裂缝
X13 1 262.48 37.25 13.63 239.84 2.64 0.26 0.35 裂缝
X30 1 253.64 21.78 15.34 227.12 2.56 0.43 0.71 裂缝
X9 1 280.01 27.36 15.75 228.22 2.58 0.32 0.15 孔洞
X16 1 281.53 10.83 21.30 241.94 2.51 3.30 0.02 孔洞
X16 1 294.33 14.66 19.63 244.17 2.53 1.65 0.18 孔洞
X6 1 266.75 20.77 17.42 244.95 2.58 1.42 0.79 缝洞
X9 1 301.19 17.44 19.11 261.85 2.56 1.49 0.71 缝洞
X30 1 243.88 21.34 21.29 266.22 2.55 0.71 0.50 缝洞
X13 1 230.93 97.17 11.34 225.00 2.64 0.07 0.10 致密层
X13 1 300.89 66.11 11.38 181.85 2.69 0.03 0.11 致密层
X26 1 299.36 36.47 15.06 197.67 2.64 0.09 0.36 致密层
图1 Karabulak油田缝洞识别图版
Fig.1 Karabulak oil field reservoir identification chart
图2 X1井测井综合解释图
Fig.2 Comprehensive interpretation result of X1 well
图3 X2井测井综合解释图
Fig.3 Comprehensive interpretation result of X2 well
图4 X3井测井综合解释图
Fig.4 Comprehensive interpretation result of X3 well
[1] Yong Shihe, Zhang Chaomo.Logging Data Processing and Comprehensive Interpretation[M]. Dongying: China University of Petroleum Press, 2007.
[雍世和, 张超谟.测井数据处理与综合解释[M].东营:中国石油大学出版社, 2007.]
[2] Zhao Liangxiao, Bu Yong.Logging Evaluation Technology of Carbonate Reservoir[M]. Beijing:Petroleum Industry Press, 1994:39-51.
[赵良孝, 补勇.碳酸盐岩储层测井评价技术[M].北京:石油工业出版社, 1994:39-51.]
[3] Deng Shaogui, Wang Xiaochang, Fan Yiren.Response of duallaterolog to fractures in fractured carbonate formation and its interpretation[J]. Earth Science, 2006,31(6):846-850.
[邓少贵, 王晓畅, 范宜仁.裂缝性碳酸盐岩裂缝的双侧向测井响应特征及解释方法[J]. 地球科学, 2006, 31(6):846-850.]
doi: 10.3321/j.issn:1000-2383.2006.06.013     URL    
[4] Zkaya Sait Ismail.Fracture length estimation from borehole image logs[J]. Mathematical Geology, 2003, 35(6):737-753.
doi: 10.1023/B:MATG.0000002987.69549.ba     URL    
[5] Hornby B E, Johnson D L, Winkler K W, et al. Fracture evaluation using reflected Stoneley-wave arrivals[J]. Geophysics, 1989, 54(10):1 274-1 288.
doi: 10.1190/1.1442587     URL    
[6] Canady W, Market J.Fracture Characterisation by Borehole Logging Methods[C]. SPWLA 49th Annual Logging Symposium, 2008.
[7] Tokhmechi B, Nemarian H, Rasouli V, et al. Fracture detecting from water saturation log data using a Fourier-wavelet approach[J]. Journal of Petrolum Science and Engineering, 2009, (69):129-138.
doi: 10.1016/j.petrol.2009.08.005     URL    
[8] Jing Jian'en, Wei Wenbo, Mei Zhongwu, et al. Method of Well-logging interpretation for fracture reservoirs of carbonate rock:A case study in Tahe oil-field[J]. Progress in Geophysics, 2005, 20(1):78-82.
[景建恩, 魏文博, 梅忠武,等.裂缝型碳酸盐岩储层测井评价方法——以塔河油田为例[J].地球物理学进展, 2005, 20(1):78-82.]
doi: 10.3969/j.issn.1004-2903.2005.01.015     URL    
[9] Wan Yingming, Gao Jun, Dong Jianping, ,et al. Integrative processing in synthesis of multi-logging traces[J]. Petroleum Geophysical Exploration, 2005, 40(2):243-247, 124-125, 252.
[万应明, 高峻, 董建平,等. 多测井曲线的综合处理合成[J].石油地球物理勘探, 2005, 40(2):243-247, 124-125, 252.]
doi: 10.3321/j.issn:1000-7210.2005.02.029     URL    
[10] Zhao Junlong, Gong Zewen, Li Gan, et al. A review and perspective of identifying and evaluating the logging technology of fractured carbonate reservoir[J]. Progress in Geophysics, 2012, 27(2):537-547.
[赵军龙, 巩泽文, 李甘, 等.碳酸盐岩裂缝性储层测井识别及评价技术综述与展望[J].地球物理学进展, 2012, 27(2):537-547.]
doi: 10.6038/j.issn.1004-2903.2012.02.017     URL    
[11] Zhang Chunhui, Gao Yongde.Judgment about effectiveness of carbonate reservoir with cavern[J]. Well Testing, 2008, (5):20-21,76.
[张春晖, 高永德.孔洞型碳酸盐岩储层有效性的判断[J].油气井测试, 2008,(5):20-21,76.]
doi: 10.3969/j.issn.1004-4388.2008.05.007     URL    
[12] Wang Guangfu.Integrative identification and prediction methods for carbonate rock cave reservoir[J]. Acta Petrolei Sinica, 2008, 29(1):47-51.
[王光付. 碳酸盐岩溶洞型储层综合识别及预测方法[J].石油学报, 2008, 29(1):47-51.]
doi: 10.3321/j.issn:0253-2697.2008.01.008     URL    
[13] Zhang Ning.The Comprehensive Judgment and Recognition Research of Chang 4+5 Reservoir in Yuan 48 Area of Jiyuan Oilfield [D]. Xi'an:Xi'anShiyou University, 2014.
[张宁. 姬塬油田元48区长4+5储集层天然裂缝综合判识研究[D]. 西安:西安石油大学, 2014.]
[14] Hu Zongquan.Description, Evaluation and Prediction of Tight Fractured Clastic Reservoirs[M]. Beijing:Petroleum Industry Press, 2005:1-8.
[胡宗全. 致密裂缝性碎屑岩储集层描述、评价与预测[M]. 北京:石油工业出版社, 2005:1-8.]
[15] Wu Wenming, Kang Zhihong, Zhao Xinfa, et al. Logging identification of Yingshan formation fissure-cave reservoir in the sixth block of Tahe oilfield[J]. Petroleum Geology and Engineering, 2007, 21(5):37-39.
[伍文明, 康志宏, 赵新法,等.塔河油田六区鹰山组缝洞型储层测井识别[J].石油地质与工程, 2007, 21(5):37-39.]
doi: 10.3969/j.issn.1673-8217.2007.05.011     URL    
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