鄂尔多斯盆地中南部延长组7段页岩有机碳含量解释模型

doi:10.7623/syxb201512005

石油学报 ›› 2015, Vol. 36 ›› Issue (12): 1508-1515.DOI: 10.7623/syxb201512005

鄂尔多斯盆地中南部延长组7段页岩有机碳含量解释模型

黄薇^1,2, 张小莉¹, 李浩^1,3, 祁攀文³, 王军¹

1. 西北大学大陆动力学国家重点实验室西北大学地质学系陕西西安 710069;
2. 中国石油长庆油田公司勘探开发研究院陕西西安 710018;
3. 延长石油(集团)有限责任公司研究院陕西西安 710075

收稿日期:2015-07-12 修回日期:2015-11-12 出版日期:2015-12-25 发布日期:2016-01-06
通讯作者: 黄薇,女,1988年11月生,2010年获长江大学学士学位,2012年获西北大学硕士学位,现为西北大学博士研究生,主要从事油气地质及测井评价等方面的研究。Email:hualishi2008@163.com
基金资助:
陕西省科技统筹创新工程计划项目"陆相页岩气资源地质研究与勘探开发关键技术攻关"(2012KTZB03-03)资助。

Interpretation model of organic carbon content of shale in Member 7 of Yanchang Formation, central-southern Ordos Basin

Huang Wei^1,2, Zhang Xiaoli¹, Li Hao^1,3, Qi Panwen³, Wang Jun¹

1. State Key Laboratory of Continental Dynamics, Northwest University, Shaanxi Xi'an 710069, China;
2. Research Institute of Petroleum Exploration and Development, Petrochina Changqing Oilfield Company, Shaanxi Xi'an 710018, China;
3. Research Institute of Shaanxi Yanchang Petroleum (Group)Corp., Ltd., Shaanxi Xi'an 710075, China

Received:2015-07-12 Revised:2015-11-12 Online:2015-12-25 Published:2016-01-06

摘要/Abstract

摘要：

鄂尔多斯盆地中南部延长组大多数井缺少自然伽马能谱、中子和密度等测井资料,如何利用自然伽马、声波时差和电阻率等常规测井资料提高页岩有机碳含量测井解释的精度显得尤为重要。通过分析鄂尔多斯盆地中南部延长组7段页岩有机碳含量及其常规测井响应特征,建立合适的有机碳含量解释模型,并根据解释结果分析页岩有机碳含量(TOC)、厚度(H)和(TOC×H)参数的平面分布特征。研究表明,有机碳含量与自然伽马、声波时差、电阻率和ΔLogR参数的相关性不明显,考虑不同井不同深度泥岩基线段对应的自然伽马值的相对变化,选取自然伽马相对值(ΔGR)代替自然伽马,并结合声波时差与有机碳含量进行多元线性回归分析建立相应的测井解释模型,其计算值与实测值吻合程度较高。该多元线性回归有机碳含量解释模型在鄂尔多斯盆地中南部延长组7段的应用效果较好,通过页岩有机碳含量、厚度及(TOC×H)参数的分布特征分析认为,该区富有机质页岩对页岩气储层具有较强的持续供气能力。

关键词: ΔGR, 测井解释模型, 页岩有机碳含量, 延长组7段, 鄂尔多斯盆地

Abstract:

Most wells of Yanchang Formation, central-southern Ordos Basin are lack of natural gamma ray spectrology, neutron, density and other logging data. It is particularly important that how to improve the logging interpretation accuracy of organic carbon content of shale using gamma ray, acoustictime, resistivity and other conventional logging data. Then a suitable interpretation model of organic carbon content is established through analyzing the organic carbon content of shale in Member 7 of Yanchang Formation, central-southern Ordos Basin and conventional logging response characteristics, and interpretation results are applied to analyze the planar distribution characteristics of organic carbon content (TOC), thickness (H)and (TOC×H)parameters of shale. Studies have shown that organic carbon content has no significant correlation to gamma ray, acoustictime, resistivity and ΔLogR parameters. In consideration of relative changes in the gamma ray value corresponding to mudstone base segment of different wells at different depths, the relative value of gamma ray(ΔGR)is selected to replace gamma ray, and in combination with acoustictime and organic carbon content, multi-linear regression analysis is conducted to establish the corresponding logging interpretation model. The calculated value has a high consistency with the measured value. The interpretation model of organic carbon content based on multi-linear regression has better application effect in Member 7 of Yanchang Formation, central-southern Ordos Basin. Through analysis of the distribution characteristics of TOC, H and (TOC×H)parameters of shale, it can be concluded that this region is rich in organic shale which has the strong capacity of continuous gas supply to shale gas reservoirs.

Key words: ΔGR, logging interpretation model, organic carbon content of shale, Member 7 of Yanchang Formation, Ordos Basin

中图分类号:

P631.8

黄薇, 张小莉, 李浩, 祁攀文, 王军. 鄂尔多斯盆地中南部延长组7段页岩有机碳含量解释模型[J]. 石油学报, 2015, 36(12): 1508-1515.

Huang Wei, Zhang Xiaoli, Li Hao, Qi Panwen, Wang Jun. Interpretation model of organic carbon content of shale in Member 7 of Yanchang Formation, central-southern Ordos Basin[J]. Acta Petrolei Sinica, 2015, 36(12): 1508-1515.

参考文献

[1] 徐士林,包书景.鄂尔多斯盆地三叠系延长组页岩气形成条件及有利发育区预测[J].天然气地球科学,2009,20(3):460-465.
Xu Shilin,Bao Shujing.Preliminary analysis of shale gas resource potential and favorable areas in Ordos Basin[J].Natural Gas Geoscience,2009,20(3):460-465.
[2] 刘洪林,王红岩,刘人和,等.非常规油气资源发展现状及关键问题[J].天然气工业,2009,29(9):113-116.
Liu Honglin,Wang Hongyan,Liu Renhe,et al.The present status and essential points of developing the unconventional hydrocarbon resources in China[J].Natural Gas Industry,2009,29(9):113-116.
[3] 王香增,高胜利,高潮.鄂尔多斯盆地南部中生界陆相页岩气地质特征[J].石油勘探与开发,2014,41(3):294-304.
Wang Xiangzeng,Gao Shengli,Gao Chao.Geological features of Mesozoic continental shale gas in south of Ordos Basin,NW China[J].Petroleum Exploration and Development,2014,41(3):294-304.
[4] 李延钧,张烈辉,冯媛媛,等.页岩有机碳含量测井评价方法及其应用[J].天然气地球科学,2013,24(1):169-174.
Li Yanjun,Zhang Liehui,Feng Yuanyuan,et al.Logging evaluation method and its application for measuring the total organic carbom content in shale gas[J].Natural Gas Geoscience,2013,24(1):169-174.
[5] 郝建飞,周灿灿,李霞,等.页岩气地球物理测井评价综述[J].地球物理学进展,2012,27(4):1624-1632.
Hao Jianfei,Zhou Canan,Li Xia,et al.Summary of shale gas evaluation applying geophysical logging[J].Progress in Geophysics,2012,27(4):1624-1632.
[6] Passey Q R,Creaney S,Kulla J B,et al.A practical model for organic richness from porosity and resistivity logs[J].AAPG Bulletin,1990,74(12):1777-1794.
[7] 张志伟,张龙海.测井评价烃源岩的方法及其应用效果[J].石油勘探与开发,2000,27(3):84-87.
Zhang Zhiwei,Zhang Longhai.A method of source rock evaluation by well-logging and its application result[J].Petroleum Exploration and Development,2000,27(3):84-87.
[8] Meyer B L,Nederlof M H.Identification of source rocks on wireline logs by density/resistivity and sonic transit time/resistivity crossplots[J].AAPG Bulletin,1984,68(2):121-129.
[9] 吴庆红,李晓波,刘洪林,等.页岩气测井解释和岩心测试技术——以四川盆地页岩气勘探开发为例[J].石油学报,2011,32(3):484-488.
Wu Qinghong,Li Xiaobo,Liu Honglin,et al.Log interpretations and the application of core testing technology in the shale-gas:taking the exploration and development of the Sichuan Basin as an example[J].Acta Petrolei Sinica,2011,32(3):484-488.
[10] 薛华庆,王红岩,刘洪林,等.页岩吸附性能及孔隙结构特征——以四川盆地龙马溪组页岩为例[J].石油学报,2013,34(5):826-832.
Xue Huaqing,Wang Hongyan,Liu Honglin,et al.Adsorption capability and aperture distribution characteristics of shales:taking the Longmaxi Formation shale of Sichuan Basin as an example[J].Acta Petrolei Sinica,2013,34(5):826-832.
[11] 曹晓萌,于炳松,李心童,等.渝东南下寒武统页岩储层特征及测井评价——以渝科1井和酉科1井为例[J].石油学报,2014,35(2):233-244.
Cao Xiaomeng,Yu Bingsong,Li Xintong,et al.Reservoir characteristics and evaluation on logging of the Lower Cambrian gas shale in southeast Chongqing:a case study of Well Yuke 1 and Well Youke 1[J].Acta Petrolei Sinica,2014,35(2):233-244.
[12] Hill R J,Zhang E,Katz B J,et al.Modeling of gas generation from the Barnett Shale,Fort Worth Basin,Texas[J].AAPG Bulletin,2007,91(4):501-521.
[13] 王贵文,朱振宇,朱广宇.烃源岩测井识别与评价方法研究[J].石油勘探与开发,2002,29(4):50-52.
Wang Guiwen,Zhu Zhenyu,Zhu Guangyu.Logging identification and evaluation of Cambrian-Ordovician source rocks in syneclise of Tarim basin[J].Petroleum Exploration and Development,2002,29(4):50-52.
[14] Schmoker J W.Determination of organic-matter content of Appalachian Devonian shales from gamma-ray logs[J].AAPG Bulletin,1981,65(7):1285-1298.
[15] 王鹂,唐成磊,王飞.ΔlgR技术在烃源岩评价中的应用[J].断块油气田,2009,19(2):52-54.
Wang Li,Tang Chenglei,Wang Fei.Application of ΔlgR technology in hydrocarbon source rocks evaluation[J].Fault-Block Oil & Gas Field,2009,19(2):52-54.
[16] 朱振宇,刘洪,李幼铭.ΔlogR技术在烃源岩识别中的应用与分析[J].地球物理学进展,2003,18(4):647-649.
Zhu Zhenyu,Liu Hong,Li Youming.The analysis and application of △logR method in the source rocks identification[J].Process in Geophysics,2003,18(4):647-649.
[17] 曲彦胜,钟宁宁,刘岩,等.烃源岩有机质丰度的测井计算方法及影响因素探讨[J].岩性油气藏,2011,23(2):80-84.
Qu Yansheng,Zhong Ningning,Liu Yan,et al.Using logging methods to calculate organic matter abundance of source rocks and its influencing factors[J].Lithologic Reservoirs,2011,23(2):80-84.
[18] 朱光有,金强,张林晔.用测井信息获取烃源岩的地球化学参数研究[J].测井技术,2003,27(2):104-109.
Zhu Guangyou,Jin Qiang,Zhang Linye.Using log information to analyse the geochemical characteristics of source rocks in Jiyang Depression[J].Well Logging Technology,2003,27(2):104-109.
[19] 杨玉峰,王占国,张维琴.松辽盆地湖相泥岩地层有机碳分布特征及层序分析[J].沉积学报,2003,21(2):340-344.
Yang Yufeng,Wang Zhanguo,Zhang Weiqin.The pattern of total organic carbon and sequences within Mudstone Formation,Songliao Basin[J].Acta Sedimentologica Sinica,2003,21(2):340-344.
[20] 石强,李剑,李国平,等.利用测井资料评价生油岩指标的探讨[J].天然气工业,2004,24(9):30-32.
Shi Qiang,Li Jian,Li Guoping,et al.Evaluating source rock indexes by log data[J].Natural Gas Industry,2004,24(9):30-32.
[21] 胡慧婷,卢双舫,刘超,等.测井资料计算源岩有机碳含量模型对比及分析[J].沉积学报,2011,29(6):1199-1204.
Hu Huiting,Lu Shuangfang,Liu Chao,et al.Models for calculating organic carbon content from logging information:comparison and analysis[J].Acta Sedimentologica Sinica,2011,29(6):1199-1204.
[22] 王敏.页岩油评价的关键参数及求取方法研究[J].沉积学报,2014,32(1):174-181.
Wang Min.Key parameterand calculation in shale oil reservoir evaluation[J].Acta Sedimentologica Sinica,2014,32(1):174-181.
[23] 陆巧焕,张晋言,李绍霞.测井资料在生油岩评价中的应用[J].测井技术,2006,30(1):80-83.
Lu Qiaohuan,Zhang Jinyan,Li Shaoxia.Application of log data to oil source rock evaluation[J].Well Logging Technology,2006,30(1):80-83.
[24] 霍秋立,曾花森,付丽,等.ΔlgR测井源岩评价方法的改进及其在松辽盆地的应用[J].吉林大学学报:地球科学版,2011,41(2):586-591.
Huo Qiuli,Zeng Huasen,Fu Li,et al.The advance of ΔlgR method and its application in Songliao Basin[J].Journal of Jilin University:Earth Science Edition,2011,41(2):586-591.

鄂尔多斯盆地中南部延长组7段页岩有机碳含量解释模型

Interpretation model of organic carbon content of shale in Member 7 of Yanchang Formation, central-southern Ordos Basin

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