Generalized Δlog <i>R</i> model with spontaneous potential and its application in predicting total organ carbon content

Miao Huan; Wang Yanbin; Ma Zhentao; Guo Jianying; Zhang Yujian

doi:10.19606/j.cnki.jmst.2022.04.003

Volume 7 Issue 4

Aug. 2022

Turn off MathJax

Article Contents

Article Navigation > Journal of Mining Science and Technology > 2022 > 7(4): 417-426

Miao Huan, Wang Yanbin, Ma Zhentao, Guo Jianying, Zhang Yujian. Generalized Δlog R model with spontaneous potential and its application in predicting total organ carbon content[J]. Journal of Mining Science and Technology, 2022, 7(4): 417-426. doi: 10.19606/j.cnki.jmst.2022.04.003

Citation:

PDF( 9020 KB)

Generalized Δlog R model with spontaneous potential and its application in predicting total organ carbon content

doi: 10.19606/j.cnki.jmst.2022.04.003

1.
College of Geoscience and Surveying Engineering, China University of Mining and Technology-Beijing, Beijing 100083, China
2.
Key Laboratory of Natural Gas Accumulation and Development, CNPC, Langfang Hebei 065007, China

Received Date: 2021-08-05
Rev Recd Date: 2022-02-18
Publish Date: 2022-08-30

Abstract

Abstract

In order to accurately predict the total organic carbon content of Middle Permian taodonggou group source rocks in Turpan Hami basin, based on the analysis of the relationship between logging parameters of multiple wells and organic matter abundance in the study area, the generalized Δlog R model is extended, that is, a generalized Δlog R model with spontaneous potential is proposed. It is found that the source rock in the study area has a weak positive correlation with resistivity density, a weak negative correlation with spontaneous potential, spontaneous gamma and density, and little correlation with neutrons. Compared with other methods, the correlation coefficient (R²) of the generalized Δlog R model with spontaneous potential is 0.804 2 and the average error rate is 15.58 %, which is the best method to predict the total organic carbon content of the source rocks of the Middle Permian Taodonggou group in the area. The results provide a basis for logging evaluation of source rocks in the study area.
- Turpan Hami basin,
- source rock,
- Δlog R model,
- Taodonggou group

FullText(HTML)

References(36)

References

[1]	顾礼敬, 徐守余, 苏劲, 等. 利用地震资料预测和评价烃源岩[J]. 天然气地球科学, 2011, 22(3): 554-560. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201103027.htm Gu Lijing, Xu Shouyu, Su Jin, et al. Muddy hydrocarbon source rock prediction and evaluation with seismic data[J]. Natural Gas Geoscience, 2011, 22(3): 554-560. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201103027.htm
[2]	Passey Q R, Creaney S, Kulla J B. A practical model for organic richness from porosity and resistivity logs[J]. AAPG Bulletin, 1990, 74(12): 1777-1794.
[3]	Huang Z H, Williamson M A. Artificial neural network modelling as an aid to source rock characterization[J]. Marine and Petroleum Geology, 1996, 13(2): 277-290. doi: 10.1016/0264-8172(95)00062-3
[4]	Carcione J M. A model for seismic velocity and attenuation in petroleum source rocks[J]. GEOPHYSICS, 2000, 65(4): 1080-1092. doi: 10.1190/1.1444801
[5]	杜文凤, 王攀, 梁明星, 等. 煤系烃源岩有机碳含量测井响应特征与定量预测模型[J]. 煤炭学报, 2016, 41(4): 954-963. https://www.cnki.com.cn/Article/CJFDTOTAL-MTXB201604022.htm Du Wenfeng, Wang Pan, Liang Mingxing, et al. Well logs response characteristics and quantitative prediction model of organic carbon content of hydrocarbon source rocks in coal-bearing strata measures[J]. Journal of China Coal Society, 2016, 41(4): 954-963. https://www.cnki.com.cn/Article/CJFDTOTAL-MTXB201604022.htm
[6]	Atarita T C, Karlina D A, Nuratmaja S, et al. Predicting distribution of total organic carbon (TOC) and S2 with Δlog resistivity and acoustic impedance inversion on talangakar formation, cipunegara sub basin, west Java[J]. Procedia Engineering, 2017, 170: 390-397. doi: 10.1016/j.proeng.2017.03.063
[7]	郭泽清, 孙平, 刘卫红. 利用Δlog R技术计算柴达木盆地三湖地区第四系有机碳[J]. 地球物理学进展, 2012, 27(2): 626-633. doi: 10.6038/j.issn.1004-2903.2012.02.027 Guo Zeqing, Sun Ping, Liu Weihong. The carbon calculation by Δlog R technology in Sanhu area of Qaidam Basin[J]. Progress in Geophysics, 2012, 27(2): 626-633. doi: 10.6038/j.issn.1004-2903.2012.02.027
[8]	Liu L F, Shang X Q, Wang P, et al. Estimation on organic carbon content of source rocks by logging evaluation method as exemplified by those of the 4th and 3rd members of the Shahejie Formation in western sag of the Liaohe Oilfield[J]. Chinese Journal of Geochemistry, 2012, 31(4): 398-407. doi: 10.1007/s11631-012-0590-2
[9]	刘超, 卢双舫, 薛海涛. 变系数Δlog R方法及其在泥页岩有机质评价中的应用[J]. 地球物理学进展, 2014, 29(1): 312-317. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201401044.htm Liu Chao, Lu Shuangfang, Xue Haitao. Variable-coefficient Δlog R model and its application in shale organic evaluation[J]. Progress in Geophysics, 2014, 29(1): 312-317. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ201401044.htm
[10]	胡慧婷, 苏瑞, 刘超, 等. 广义Δlog R技术预测陆相深层烃源岩有机碳含量方法及其应用[J]. 天然气地球科学, 2016, 27(1): 149-155. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201601018.htm Hu Huiting, Su Rui, Liu Chao, et al. The method and application of using generalized-Δlog R technology to predict the organic carbon content of continental deep source rocks[J]. Natural Gas Geoscience, 2016, 27(1): 149-155. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201601018.htm
[11]	边雷博, 柳广弟, 孙明亮, 等. 优化的Δlog R技术及其在中深层烃源岩总有机碳含量预测中的应用[J]. 油气地质与采收率, 2018, 25(4): 40-45. https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS201804007.htm Bian Leibo, Liu Guangdi, Sun Mingliang, et al. Improved Δlog R technique and its application to predicting total organic carbon of source rocks with middle and deep burial depth[J]. Petroleum Geology and Recovery Efficiency, 2018, 25(4): 40-45. https://www.cnki.com.cn/Article/CJFDTOTAL-YQCS201804007.htm
[12]	王祥, 马劲风, 张新涛, 等. 一种考虑密度因素的广义Δlog R法预测总有机碳含量: 以渤中凹陷西南部陆相深层烃源岩为例[J]. 地球物理学进展, 2020, 35(4): 1471-1480. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ202004031.htm Wang Xiang, Ma Jinfeng, Zhang Xintao, et al. Prediction of total organic carbon content by a generalized Δlog R method considering density factors: illustrated by the example of deep continental source rocks in the southwestern part of the Bozhong sag[J]. Progress in Geophysics, 2020, 35(4): 1471-1480. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWJ202004031.htm
[13]	Zhu L Q, Zhang C M, Zhang Z S, et al. An improved method for evaluating the TOC content of a shale formation using the dual-difference Δlog R method[J]. Marine and Petroleum Geology, 2019, 102: 800-816. doi: 10.1016/j.marpetgeo.2019.01.031
[14]	杨占龙, 彭立才, 陈启林, 等. 吐哈盆地胜北洼陷岩性油气藏成藏条件与油气勘探方向[J]. 岩性油气藏, 2007, 19(1): 62-67. doi: 10.3969/j.issn.1673-8926.2007.01.011 Yang Zhanlong, Peng Licai, Chen Qilin, et al. Petroleum accumulation condition analysis and lithologic reservoir exploration in Shengbei depression of Turpan-Harmy basin[J]. Lithologic Reservoirs, 2007, 19(1): 62-67. doi: 10.3969/j.issn.1673-8926.2007.01.011
[15]	高岗, 梁浩, 李华明, 等. 吐哈盆地石炭系-下二叠统烃源岩地球化学特征[J]. 石油勘探与开发, 2009, 36(5): 583-592. doi: 10.3321/j.issn:1000-0747.2009.05.006 Gao Gang, Liang Hao, Li Huaming, et al. Organic geochemistry of carboniferous and Lower Permian source rocks, Turpan-Hami basin, NW China[J]. Petroleum Exploration and Development, 2009, 36(5): 583-592. doi: 10.3321/j.issn:1000-0747.2009.05.006
[16]	袁明生, 梁世君, 燕列灿, 等. 吐哈盆地油气地质与勘探实践[M]. 北京: 石油工业出版社, 2002.
[17]	李金帅, 李贤庆, 王元, 等. 琼东南盆地深水区烃源岩地球化学特征和生烃潜力评价[J]. 矿业科学学报, 2021, 6(2): 166-175. doi: 10.19606/j.cnki.jmst.2021.02.004 Li Jinshuai, Li Xianqing, Wang Yuan, et al. Geochemical characteristics and hydrocarbon generation potential evaluation of source rocks in the deepwater area of Qiongdongnan Basin[J]. Journal of Mining Science and Technology, 2021, 6(2): 166-175. doi: 10.19606/j.cnki.jmst.2021.02.004
[18]	Jiang S H, Li S Z, Somerville I D, et al. Carboniferous-Permian tectonic evolution and sedimentation of the Turpan-Hami Basin, NW China: implications for the closure of the Paleo-Asian Ocean[J]. Journal of Asian Earth Sciences, 2015, 113: 644-655. doi: 10.1016/j.jseaes.2015.05.012
[19]	周文浩. 吐哈盆地吐鲁番坳陷西部二叠系生烃演化特征[J]. 断块油气田, 2017, 24(3): 316-319. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT201703005.htm Zhou Wenhao. Characteristics of Permian hydrocarbon evolution in western area, Turpan Depression, Turpan-Hami Basin[J]. Fault-Block Oil & Gas Field, 2017, 24(3): 316-319. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT201703005.htm
[20]	韩祥磊. 吐哈盆地塔尔朗组沉积特征及烃源岩潜力分析[J]. 特种油气藏, 2018, 25(3): 18-22. doi: 10.3969/j.issn.1006-6535.2018.03.004 Han Xianglei. Sedimentary pattern and source-rock potential of Taerlang formation in Turpan-Hami Basin[J]. Special Oil & Gas Reservoirs, 2018, 25(3): 18-22. doi: 10.3969/j.issn.1006-6535.2018.03.004
[21]	郭林. 吐哈盆地哈密坳陷石炭-二叠系油气成藏要素[J]. 新疆石油地质, 2012, 33(1): 35-37. https://www.cnki.com.cn/Article/CJFDTOTAL-XJSD201201009.htm Guo Lin. Essential factors of carboniferous-Permian hydrocarbon accumulation in Hami depression of Tuha basin[J]. Xinjiang Petroleum Geology, 2012, 33(1): 35-37. https://www.cnki.com.cn/Article/CJFDTOTAL-XJSD201201009.htm
[22]	缪欢, 王延斌, 国建英, 等. 吐哈盆地中二叠统桃东沟群烃源岩的测井评价[J/OL]. 石油物探: 1-12[2021-07-17]. http://kns.cnki.net/kcms/detail/32.1284.te.2021 0917.1203.002.html.. Miao Huan, Wang Yanbin, GuoJianying, et al. Logging evaluation of Middle Permian taodonggou group source rocks in Turpan Hami Basin[J/OL]. Geophysical Prospecting for Petroleum: 1-12[2021-07-17]. http://kns.cnki.net/kcms/detail/32.1284.te.20210917.1203.002.html.
[23]	Miao H, Wang Y B, Zhao S H, et al. Geochemistry and organic petrology of middle Permian source rocks in Taibei sag, Turpan-Hami basin, China: implication for organic matter enrichment[J]. ACS Omega, 2021, 6(47): 31578-31594. doi: 10.1021/acsomega.1c04061
[24]	袁东山, 王国斌, 汤泽宁, 等. 测井资料评价烃源岩方法及其进展[J]. 石油天然气学报, 2009, 31(4): 192-194, 203, 429. doi: 10.3969/j.issn.1000-9752.2009.04.046 Yuan Dongshan, Wang Guobin, Tang Zening, et al. Methods for evaluating source rocks by well-logging data and its progress[J]. Journal of Oil and Gas Technology, 2009, 31(4): 192-194, 203, 429. doi: 10.3969/j.issn.1000-9752.2009.04.046
[25]	王攀, 梁明星. 煤系烃源岩测井响应特征及有机碳评价方法[J]. 物探与化探, 2016, 40(1): 197-202. https://www.cnki.com.cn/Article/CJFDTOTAL-WTYH201601035.htm Wang Pan, Liang Mingxing. The logging characteristics and evaluation methods of hydrocarbon source rock in coal measures[J]. Geophysical and Geochemical Exploration, 2016, 40(1): 197-202. https://www.cnki.com.cn/Article/CJFDTOTAL-WTYH201601035.htm
[26]	杨涛涛, 范国章, 吕福亮, 等. 烃源岩测井响应特征及识别评价方法[J]. 天然气地球科学, 2013, 24(2): 414-422. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201302029.htm Yang Taotao, Fan Guozhang, Lü Fuliang, et al. The logging features and identification methods of source rock[J]. Natural Gas Geoscience, 2013, 24(2): 414-422. https://www.cnki.com.cn/Article/CJFDTOTAL-TDKX201302029.htm
[27]	秦建强, 付德亮, 钱亚芳, 等. 烃源岩有机质丰度预测的地球物理研究进展[J]. 石油物探, 2018, 57(6): 803-812. doi: 10.3969/j.issn.1000-1441.2018.06.002 Qin Jianqiang, Fu Deliang, Qian Yafang, et al. Progress of geophysical methods for the evaluation of TOC of source rock[J]. Geophysical Prospecting for Petroleum, 2018, 57(6): 803-812. doi: 10.3969/j.issn.1000-1441.2018.06.002
[28]	张立鹏, 边瑞雪, 杨双彦, 等. 用测井资料识别烃源岩[J]. 测井技术, 2001, 25(2): 146-152, 161. doi: 10.3969/j.issn.1004-1338.2001.02.015 Zhang Lipeng, Bian Ruixue, Yang Shuangyan, et al. Identifying hydrocarbon source rock with log data[J]. Well Logging Technology, 2001, 25(2): 146-152, 161. doi: 10.3969/j.issn.1004-1338.2001.02.015
[29]	党春华. 自然电位测井原理与应用[J]. 煤炭技术, 2010, 29(8): 131-133. https://www.cnki.com.cn/Article/CJFDTOTAL-MTJS201008063.htm Dang Chunhua. Principle and application of natural potential logging[J]. Coal Technology, 2010, 29(8): 131-133 https://www.cnki.com.cn/Article/CJFDTOTAL-MTJS201008063.htm
[30]	陈孝平. 某地区烃源岩电性特征研究[J]. 石化技术, 2017, 24(8): 143. doi: 10.3969/j.issn.1006-0235.2017.08.115 Chen Xiaoping. Research on electrical characteristics of hydrocarbon source rocks in a certain area[J]. Petrochemical Industry Technology, 2017, 24(8): 143. doi: 10.3969/j.issn.1006-0235.2017.08.115
[31]	张小莉, 沈英. 吐哈盆地侏罗系煤系地层烃源岩的测井研究[J]. 测井技术, 1998, 22(3): 183-185, 194. https://www.cnki.com.cn/Article/CJFDTOTAL-CJJS803.009.htm Zhang Xiaoli, Shen Ying. Study on the source rock of Jurassic coal measure strata in Tulufan Hami Basin by logs[J]. Well Logging Technology, 1998, 22(3): 183-185, 194. https://www.cnki.com.cn/Article/CJFDTOTAL-CJJS803.009.htm
[32]	罗帆, 徐国盛, 梁浩然, 等. 渤南青东凹陷烃源岩有机碳含量测井预测模型[J]. 成都理工大学学报: 自然科学版, 2020, 47(5): 604-611. doi: 10.3969/j.issn.1671-9727.2020.05.09 Luo Fan, Xu Guosheng, Liang Haoran, et al. Logging prediction model of organic carbon content in source rock in the Qingdong Sag, Bonan Basin, China[J]. Journal of Chengdu University of Technology: Science & Technology Edition, 2020, 47(5): 604-611. doi: 10.3969/j.issn.1671-9727.2020.05.09
[33]	宋延杰, 孙钦帅, 张晓军, 等. 基于测井信息的烃源岩定量评价方法[J]. 黑龙江科技大学学报, 2021, 31(2): 156-162. doi: 10.3969/j.issn.2095-7262.2021.02.005 Song Yanjie, Sun Qinshuai, Zhang Xiaojun, et al. Logging-based quantitative evaluation method for source rocks information[J]. Journal of Heilongjiang University of Science and Technology, 2021, 31(2): 156-162. doi: 10.3969/j.issn.2095-7262.2021.02.005
[34]	薛冰, 刘度, 罗洪浩, 等. 太行山东麓页岩储层地球化学参数测井计算方法研究[J]. 煤炭科学技术, 2020, 48(7): 325-333. https://www.cnki.com.cn/Article/CJFDTOTAL-MTKJ202007037.htm Xue Bing, Liu Du, Luo Honghao, et al. Study on well logging calculation method of geochemical parameters of shale reservoir in eastern foot of Taihang Mountain[J]. Coal Science and Technology, 2020, 48(7): 325-333. https://www.cnki.com.cn/Article/CJFDTOTAL-MTKJ202007037.htm
[35]	林彧涵, 蒋有录, 苏圣民, 等. 二连盆地乌兰花凹陷下白垩统烃源岩有机碳含量预测[J]. 大庆石油地质与开发, 2021, 40(2): 143-152. https://www.cnki.com.cn/Article/CJFDTOTAL-DQSK202102017.htm Lin Yuhan, Jiang Youlu, Su Shengmin, et al. W(TOC) prediction of Lower Cretaceous hydrocarbon source rock in Wulanhua Sag of Erlian Basin[J]. Petroleum Geology & Oilfield Development in Daqing, 2021, 40(2): 143-152. https://www.cnki.com.cn/Article/CJFDTOTAL-DQSK202102017.htm
[36]	刘新颖, 邓宏文, 邸永香, 等. 海拉尔盆地乌尔逊凹陷南屯组优质烃源岩发育特征[J]. 石油实验地质, 2009, 31(1): 68-73. doi: 10.3969/j.issn.1001-6112.2009.01.013 Liu Xinying, Deng Hongwen, Di Yongxiang, et al. High quality source rocks of Nantun formation in Wuerxun depression, the Hailaer Basin[J]. Petroleum Geology & Experiment, 2009, 31(1): 68-73. doi: 10.3969/j.issn.1001-6112.2009.01.013

Relative Articles

Supplements(0)

Cited By

Proportional views

Proportional views

通讯作者: 陈斌, bchen63@163.com

1.
沈阳化工大学材料科学与工程学院沈阳 110142

Figures(6) / Tables(3)

Get Citation

PDF

XML

Article Metrics

Article views (474) PDF downloads(19)

Generalized Δlog R model with spontaneous potential and its application in predicting total organ carbon content

doi: 10.19606/j.cnki.jmst.2022.04.003

Abstract

References

Proportional views

Catalog

通讯作者: 陈斌, bchen63@163.com

Article Metrics

Proportional views

Export File

Citation

Format

Content