| Citation: | Zhang Pan, Liu Hongqi, Wang Weijun, Xin Jionglong, Sun Yangsha. Application of conventional logging and gas logging data to fluid identification of carbonate reservoirs in K reservoir of H Oilfield[J]. Bulletin of Geological Science and Technology, 2022, 41(3): 140-149. doi: 10.19509/j.cnki.dzkq.2021.0062
|
K reservoir is an important oil and gas producing layer of H oilfield in the Middle East, Iraq. The reservoir space is mainly matrix pores and dissolved pores, with a wide range of permeability and poor correlation between porosity and permeability. The reservoir thickness is large, and the stratigraphic heterogeneity is very strong; therefore, it is poor quality to identify carbonate reservoir fluid properties only relying on conventional logging data and traditional logging evaluation methods. Aiming at this problem, the fluid identification work of K reservoirin H oilfield was carried out. By analyzing conventional logging data, it is found that the ratio of deep to shallow resistivity can better distinguish water from hydrocarbon. Based on analyzing morphological characteristics of the total hydrocarbon curve and corresponding reservoir fluid properties, it is found that the gas curve has obvious differences in the morphology of different fluid properties, so it is considered to further classify water and hydrocarbon by using gas curve. It is found that the ratio of heavy hydrocarbon tohydrocarbon gas density index can better classify oil-water layer and water layer. In order to quantitatively characterize the identification process, the identification method of water-oil-water layer gas measurement curve (ECR1) is established. ECR1 greater than 0 is oil-water layer, otherwise, it is water layer. Based on gas wet index, light hydrocarbon ratio and excavation effect, the identification method of gas-reservoir gas measurement curve (ECR2) is established. ECR2 higher than 0 isgas reservoir, and vice versa. The application of this model to 38 small layers in 13 wells of K reservoir in H oilfield shows that the recognition coincidence rate reaches 81.58%, and the recognition accuracy is high, meeting the actual needs of study area. The established ECR model has achieved good application effect in K reservoir of H oilfield, which can provide a certain reference for the subsequent exploration and development of this area, and also provide a reference for fluid identification of similar carbonate reservoirs worldwide.
| [1] |
韩国生, 李双龙, 张继德, 等. 气测录井在辽河坳陷非常规储集层解释评价中的应用[J]. 录井工程, 2010, 21(4): 24-29, 74. doi: 10.3969/j.issn.1672-9803.2010.04.007
Han G S, Li S L, Zhang J D, et al. Application of gas logging in interpretation and evaluation of unconventional reservoirs in Liaohe Depression[J]. Logging Engineering, 2010, 21(4): 24-29, 74(in Chinese with English abstract). doi: 10.3969/j.issn.1672-9803.2010.04.007
|
| [2] |
Haworth J H, Sellens M, Whittaker A. Interpretation of hydrocarbon shows using light(C1-C5) hydrocarbon gases from mud-log data[J]. AAPG Bulletin, 1985, 69(8): 1305-1310.
|
| [3] |
何宏, 童锡骏, 安源. 对气测录井烃组分三角形图解法的研究[J]. 天津理工学院学报, 2004, 21(2): 30-33. doi: 10.3969/j.issn.1673-095X.2004.02.008
He H, Tong X J, An Y. Research on triangle illustration to gas logging hydrocarbon component[J]. Journal of Tianjin University of Technology, 2004, 21(2): 30-33(in Chinese with English abstract). doi: 10.3969/j.issn.1673-095X.2004.02.008
|
| [4] |
丁次乾. 矿场地球物理[M]. 山东东营: 石油大学出版社, 1992.
Ding C Q. Field geophysics[M]. Dongying Shandong: Petroleum University Press, 1992(in Chinese).
|
| [5] |
汪瑞宏, 李兴丽, 崔云江, 等. 气测录井技术在渤海疑难层流体识别中的应用[J]. 石油地质与工程, 2013, 27(1): 72-75, 140. doi: 10.3969/j.issn.1673-8217.2013.01.020
Wang R H, Li X L, Cui Y J, et al. Application of gas logging technology in fluid identification of difficult formation in Bohai Sea[J]. Petroleum Geology and Engineering, 2013, 27(1): 72-75, 140(in Chinese with English abstract). doi: 10.3969/j.issn.1673-8217.2013.01.020
|
| [6] |
胡延忠, 吴文明, 孟建华. 气测录井烃类比值和烃气指数图板的建立与应用[J]. 录井工程, 2009, 20(2): 11-13, 52, 82-83. doi: 10.3969/j.issn.1672-9803.2009.02.003
Hu Y Z, Wu W M, Meng J H. Establishment and application of hydrocarbon ratio and hydrocarbon gas index chart board in gas logging[J]. Logging Engineering, 2009, 20(2): 11-13, 52, 82-83(in Chinese with English abstract). doi: 10.3969/j.issn.1672-9803.2009.02.003
|
| [7] |
魏峰, 李跃林. 基于测录井资料的复杂流体性质识别技术[J]. 断块油气田, 2020, 27(6): 760-765. https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT202006018.htm
Wei F, Li Y L. Identification technology of complex fluidpropertiesbased on logging and mud logging data[J]. Fault-Block Oil & Gas Field, 2020, 27(6): 760-765(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DKYT202006018.htm
|
| [8] |
祁新忠, 张承森, 高楚桥, 等. 塔中地区碳酸盐岩天然气藏流体识别方法研究[J]. 石油天然气学报, 2012, 34(9): 89-92, 7. doi: 10.3969/j.issn.1000-9752.2012.09.018
Qi X Z, Zhang C S, Gao C Q, et al. Study on fluid identification method of carbonate gas reservoir in Tazhong area[J]. Journal of Oil and Gas Technology, 2012, 34(9): 89-92, 7(in Chinese with English abstract). doi: 10.3969/j.issn.1000-9752.2012.09.018
|
| [9] |
杨毅, 袁伟, 杨冬, 等. 综合测录井信息的砂砾岩储集层流体性质识别方法[J]. 录井工程, 2020, 31(4): 77-83. doi: 10.3969/j.issn.1672-9803.2020.04.012
Yang Y, Yuan W, Yang D, et al. Identification method of fluid properties of glutenite reservoirs based on integrated information of well logging and mud logging[J]. Logging Engineering, 2020, 31(4): 77-83(in Chinese with English abstract). doi: 10.3969/j.issn.1672-9803.2020.04.012
|
| [10] |
武鑫, 王艺霖, 黄敬军, 等. 徐州地区碳酸盐岩溶蚀特征及影响因素分析[J]. 地质科技情报, 2019, 38(3): 120-126. https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201903011.htm
Wu X, Wang Y L, Huang J J, et al. Dissolution characteristics of carbonate and analysis of the key influence factors in Xuzhou region[J]. Geological Science and Technology Information, 2019, 38(3): 120-126(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DZKQ201903011.htm
|
| [11] |
Volery C, Davaud E, Foubert A, et al. Lacustrine microporous micrites of the Madrid Basin(Late Miocene, Spain) as analogues for shallow-marine carbonates of the Mishrif reservoir Formation(Cenomanian to Early Turonian, Middle East)[J]. Facies, 2010, 56(3): 385-397. doi: 10.1007/s10347-009-0210-8
|
| [12] |
徐辉. 伊拉克AHDEB油田上白垩统Khasib组碳酸盐岩储层特征研究[D]. 成都: 西南石油大学, 2018.
Xu H. Iraq AHDEB Oilfield carbonate reservoir characteristics of Khasib Formation in Upper Cretaceous[D]. Chengdu: Southwest Petroleum University, 2018(in Chinese with English abstract).
|
| [13] |
柳万里, 晏鄂川, 戴航, 等. 南漳保康两县碳酸盐岩崩塌发育特征及影响程度分区[J]. 地质科技通报, 2020, 39(2): 104-112. doi: 10.19509/j.cnki.dzkq.2020.0211
Liu W L, Yan E C, Dai H, et al. Development characteristics and influence degree zoning of carbonate rock collapse in Baokang and Nanzhang counties[J]. Bulletin of Geological Science and Technology, 2020, 39(2): 104-112(in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2020.0211
|
| [14] |
李长海, 赵伦, 刘波, 等. 碳酸盐岩裂缝研究进展及发展趋势[J]. 地质科技通报, 2021, 40(4): 31-48. doi: 10.19509/j.cnki.dzkq.2021.0403
Li C H, Zhao L, Liu B, et al. Research status and development trend of fractures in carbonate reservoir[J]. Bulletin of Geological Science and Technology, 2021, 40(4): 31-48(in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2021.0403
|
| [15] |
韩金虎, 郭小文, 王学军, 等. 渤南洼陷不同来源原油分布规律及主要控制因素[J]. 地质科技通报, 2020, 39(6): 83-92. doi: 10.19509/j.cnki.dzkq.2020.0607
Han J H, Guo X W, Wang X J, et al. Distribution rule andmain controlling factors of crude oil from different sources in BonanSag[J]. Bulletin of Geological Science and Technology, 2020, 39(6): 83-92(in Chinese with English abstract). doi: 10.19509/j.cnki.dzkq.2020.0607
|
| [16] |
Liu H Y, Shi K B, Liu B, et al. Characterization and identification of bioturbation-associated high permeability zones in carbonate reservoirs of Upper Cretaceous Khasib Formation, AD Oilfield, central Mesopotamian Basin, Iraq[J]. Marine and Petroleum Geology, 2019, 110, 747-767. doi: 10.1016/j.marpetgeo.2019.07.049
|
| [17] |
徐星, 赵丽敏, 田中元, 等. 高气油比油层测井挖掘效应定量计算及应用[J]. 大庆石油地质与开发, 2015, 34(5): 151-155. https://www.cnki.com.cn/Article/CJFDTOTAL-DQSK201505029.htm
Xu X, Zhao L M, Tian Z Y, et al. Quantitative calculation and application of the logging excavation effect for high-gor oil reservoir[J]. Petroleum Geology and Oilfield Development in Daqing, 2015, 34(5): 151-155(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DQSK201505029.htm
|
| [18] |
陈剑新. 钻井现场油气层快速评价方法及应用[J]. 海洋石油, 2001, 21(1): 26-30. https://www.cnki.com.cn/Article/CJFDTOTAL-HYSY200101005.htm
Cheng J X. Rapid evaluation method of oil and gas reservoir in drilling site and its application[J], Offshore Oil, 2001, 21(1): 26-30(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-HYSY200101005.htm
|
| [19] |
曾亚丽. 复杂储层流体识别方法研究[D]. 山东青岛: 中国石油大学(华东), 2014.
Zeng Y L. Study on themethods of fluid identification of complex reservoir[D]. Qingdao Shandong: China University of Petroleum(Huadong), 2014(in Chinese with English abstract).
|
| [20] |
毛志强, 谭廷栋. 密度测井和中子测井的相关性及其在识别天然气层中的应用[J]. 地球物理学报, 1996, 42(1): 125-133. https://www.cnki.com.cn/Article/CJFDTOTAL-DQWX601.013.htm
Mao Z Q, Tan T D. The correlativity of density log and neutron log and its application in identifying gas formations[J]. Acta Geophysica Sinina, 1996, 42(1): 125-133(in Chinese with English abstract). https://www.cnki.com.cn/Article/CJFDTOTAL-DQWX601.013.htm
|
Copyright © 2010Editorial Department of Bulletin of Geological Science and Technology
Supported by:
Beijing Renhe Information Technology Co., Ltd.
DownLoad:
