Prediction of difficulty for developing heavy oil reservoir with geochemical parameters

doi:10.7623/syxb200403012

Editorial office of ACTA PETROLEI SINICA ›› 2004, Vol. 25 ›› Issue (3): 61-65.DOI: 10.7623/syxb200403012

• Oil Field Development • Previous Articles Next Articles

Prediction of difficulty for developing heavy oil reservoir with geochemical parameters

ZHAO Hong-jing^1,2, ZHANG Chun-ming^1,2, MEI Bo-wen^1,2, ZHANG Min^1,2, YIN Tai-ju¹

1. Key Laboratory of Exploration Technologies for Oil and Gas Resources, MOE, Jingzhou 434023, China;
2. Geochemistry Department, Yangtze University, Jingzhou 434023, China

Received:2003-09-29 Revised:2003-11-20 Online:2004-05-25 Published:2010-05-21

利用地化参数预测稠油油藏开采难度

赵红静^1,2, 张春明^1,2, 梅博文^1,2, 张敏^1,2, 尹太举¹

1. 油气资源与勘探技术教育部重点实验室, 湖北荆州, 434023;
2. 长江大学地球化学系, 湖北荆州, 434023

作者简介:赵红静,女,1973年5月生,1998年获江汉石油学院硕士学位,现为江汉石油学院地化中心讲师,主要从事油藏地球化学和地质微生物学研究.E-mail:zhaodiana@sohu.com
基金资助:
中国石油天然气集团公司中青年创新基金项目(98J03)"储集岩烃类非均质性研究"和"油藏流体性质地球化学预测新技术"(00Z1304)资助.

Abstract

Abstract: The viscosity of biodegraded oil is highly correlated to biodegradation degree. The distribution of some biomarkers in oil varies with the different biodegradation degrees.Oil viscosity in negatively correlated to saturated hydrocarbon concentration in oil and w(Pr+Ph)-to-w(C₃₀hopane)ratio,and it is also positively correlated to polar compounds'concentration and w(Pr+Ph)-to-w(nC₁₇+nC₁₈) ratio.In addition,oil viscosity has close correlation withw(Pr+Ph)-to-w(carotene) ratio.Those geochemical parameters can be used to predict oil viscosity and thus to preliminarily evaluate oil production ifficulty.The predicted resuls from six sand bodies of second member of Sha-3 in Leng-43 block of Liaohe Oilfield show that the viscosity of oil increase with well depth and reaches the highest value near oil-water contact.The distribution of production difficulty in this reservoir is similar to the distribution of oil viscosity.

Key words: heavy oil reservoir, biomarkers, biodegradation, oil viscosity, prediction, production difficulty evaluation, geochemical parameter

摘要： 生物降解原油的粘度与生物降解程度相关,而原油中生物标志物的分布则随生物降解程度的不同而有差异.原油粘度与原油中饱和烃含量呈负相关,与极性化合物浓度呈正相关;与w(Pr+Ph)/w(nC₁₇+nC₁₈)值呈正相关,与w(Pr+Ph)/w(C₃₀藿烷)值呈负相关.原油粘度与w(Pr+Ph)/w(胡萝卜烷)值关系也很密切.利用相应地化参数可预测原油粘度,并进而初步预测原油开采难度.对辽河油田冷43块S₃²段6个油组的预测结果表明,原油粘度随埋深增加而升高,在油水界面附近达到最高值.该油藏的开采难度具有与之相似的特征.

关键词: 稠油油藏, 生物标志物, 生物降解, 原油粘度, 预测, 开采评价, 地化参数

CLC Number:

TE345

ZHAO Hong-jing, ZHANG Chun-ming, MEI Bo-wen, ZHANG Min, YIN Tai-ju. Prediction of difficulty for developing heavy oil reservoir with geochemical parameters[J]. Editorial office of ACTA PETROLEI SINICA, 2004, 25(3): 61-65.

赵红静, 张春明, 梅博文, 张敏, 尹太举. 利用地化参数预测稠油油藏开采难度[J]. 石油学报, 2004, 25(3): 61-65.

[1]	He Wenyuan, Chen Xin, Xia Yaliang, Wang Bo, Xiao Dengyi, Tang Zichang. A new prediction method for high-permeability carbonate reservoir based on multi-source data fusion and its application [J]. Acta Petrolei Sinica, 2025, 46(9): 1738-1750,1791.
[2]	Hu Lianbo, Chen Zhiming, Liao Xinwei, Yu Wei, Sepehrnoori Kamy. Fracture parameter inversion and productivity prediction of shale oil wells based on collaborative analysis of hydraulic fracturing,soaking and production data [J]. Acta Petrolei Sinica, 2025, 46(8): 1550-1567.
[3]	Zhu Haiyan, Wang Zhihui, Fan Yu, Guo Jianhua, Lei Ming, Gao Jiajia, Cao Wenke. Research progress and application prospects of prediction methods for pore pressure in carbonate formations [J]. Acta Petrolei Sinica, 2025, 46(8): 1628-1646.
[4]	Xie An, Gong Deyu, Wang Xuyang, Hu Qinhong, Zhao Long, Li Na, Liu Xianglong, Yang Shengyu, Zhu Tao. Phase simulation and physical property prediction of shale oil in Lucaogou Formation of Jimusaer sag,Junggar Basin [J]. Acta Petrolei Sinica, 2025, 46(7): 1369-1384.
[5]	Xu Changgui, Wang Xin, Yang Haifeng, Huang Zhi, Wang Wei, Zhang Jiangtao. Natural gas exploration of Mesozoic ultra-deep volcanic buried hills in Bozhong sag of Bohai Sea and its significance [J]. Acta Petrolei Sinica, 2025, 46(5): 843-856,908.
[6]	Dong Xiaohu, Zeng Deshang, Liu Huiqing, Lun Zengmin, Zhou Bing. Simulation of displacement and flow laws in porous media of hybrid thermal-chemical recovery process in heavy oil reservoirs [J]. Acta Petrolei Sinica, 2025, 46(2): 389-401.
[7]	Lu Kefeng, Shi Meixue, Wang Rui, Cheng Chaoyi, Ma Lian, Zhang Chunguang, Yan Xinyuan. Research and application of condensate gas PVT experimental data checking method based on material balance equation [J]. Acta Petrolei Sinica, 2025, 46(2): 402-412.
[8]	Liu Xueqi, Wang Zhiyuan, Wei Qiang, Wang Min, Sun Xiaohui, Wang Xuerui, Zhang Jianbo, Yin Bangtang, Sun Baojiang. A method for solving wellbore temperature field driven by physical information neural network [J]. Acta Petrolei Sinica, 2025, 46(2): 413-425.
[9]	Zhang Zhaohui, Zhang Jiaosheng, Liao Jianbo, Li Chao, Zou Jiandong, Zhang Wenting. Productivity prediction and exploration significance of tight sandstone reservoir in the Member 9 of Triassic Yanchang Formation in Jiyuan area,Ordos Basin [J]. Acta Petrolei Sinica, 2025, 46(11): 2091-2105.
[10]	Tang Haoqin, Zhang Benjian, Xiong Xiaojun, Li Tianjun. Seismic prediction technology for complex beach facies dolomite reservoirs of Maokou Formation in central and northern Sichuan Basin: a case study of Jiaotan1 well area [J]. Acta Petrolei Sinica, 2024, 45(9): 1385-1398,1421.
[11]	Zhen Ying, Cao Yuguang, Zhang Zhenyong, Bai Fang, Niu Ruiyan. The numerical simulation method for dynamic crack propagation of supercritical CO₂ pipeline under the pipe-soil coupling [J]. Acta Petrolei Sinica, 2024, 45(7): 1130-1140.
[12]	Li Zhen, Guo Qi, Bu Yahui, Hu Huifang. Establishment and prediction of sample pool of saturation field based on deep learning [J]. Acta Petrolei Sinica, 2024, 45(4): 698-707.
[13]	Zhang Jianguo, Zhong Qi, Wang Fenghua, Wang Siqi, Jiang Zaixing, Li Junliang, Zhang Pengfei, Wu Jiabin, Xian Benzhong, Huang Hui, Tan Bintian, Jia Ruo. Application of astronomical cycle theory to sedimentary evolution and sweet spot prediction of shale oil-gas reservoir [J]. Acta Petrolei Sinica, 2024, 45(10): 1507-1521,1551.
[14]	Wang Lixin, Li Hong, Liu Xiaomin, Hu Huafeng. Seismic exploration technologies of marine shale gas and their development directions in China [J]. Acta Petrolei Sinica, 2024, 45(1): 261-275.
[15]	Guo Qiulin, Huang Shaoying, Lu Yuhong, Wang Jian, Wu Xiaozhi, Chen Ningsheng. Modeling and resource distribution prediction of the Lower Paleozoic petroleum system in platform area of Tarim Basin [J]. Acta Petrolei Sinica, 2023, 44(9): 1459-1471.

Prediction of difficulty for developing heavy oil reservoir with geochemical parameters

利用地化参数预测稠油油藏开采难度

PDF

Knowledge

Abstract

Cite this article

share this article

References

Related Articles 15

Recommended Articles

Metrics

Comments