Productivity Forecast and Characteristics of the Carbonate Reservoir in H Oilfield in the Middle East

doi:10.11885/j.issn.16745086.2014.11.24.03

Abstract

Abstract: The lithologies of the MB2 Formation in H Oilfield are mainly composed of grainstone and packstone. The core data are used to analyze the lithology, physical property and pore structure property. The result shows that the carbonate reservoirs in H Oilfield are of complicated heterogeneity. The pore systems are classified into Macro pore, Mezzo pore and Micro pore according to the mercury injection. Marco pores and Mezo pores are predominant in limestone with a grainstone texture in the upper interval of MB2 Formation, and the packstone pore system mainly consists of Mezzo pore and Micro pore. The Nuclear Magnetic Resonance Logging Tool(CMR)has been employed to characterize the pore system of the limestone reservoirs. The results of the CMR pore size distribution agree with the core data in general. The NMR can evaluate the reservoir accurately. Based on the study result, the productivity prediction of the MB2 formation is made.

Key words: grainstone, packstone, pore structure, pore throat, T₂ spectrum, productivity forecast

CLC Number:

TE121

JIANG Junwei, XU Xing. Productivity Forecast and Characteristics of the Carbonate Reservoir in H Oilfield in the Middle East[J]. 西南石油大学学报(自然科学版), 2016, 38(5): 33-40.

0
/ / Recommend

Add to citation manager EndNote|Ris|BibTeX

URL: http://journal15.magtechjournal.com/Jwk_xnzk/EN/10.11885/j.issn.16745086.2014.11.24.03

http://journal15.magtechjournal.com/Jwk_xnzk/EN/Y2016/V38/I5/33

References

[1] 高计县,田昌炳,张为民,等. 伊拉克鲁迈拉油田Mishrif组碳酸盐岩储层特征及成因[J]. 石油学报, 2013, 34(5):843-852. GAO Jixian, TIAN Changbing, ZHANG Weimin, et al. Characteristics and genesis of carbonate reservoir of the Mishrif Formation in the Rumaila Oilfield, Iraq[J]. Acta Petrolei Sinica, 2013, 34(5):843-852.
[2] HOLLIS C, VAHRENKAMP V, TULL S, et al. Pore system characterisation in heterogeneous carbonates:An alternative approach to widely-used rock-typing methodologies[J]. Marine and Petroleum Geology, 2010, 27(4):772-793.
[3] 欧阳健. 油藏中饱和度-电阻率分布规律研究[J]. 石油勘探与开发, 2002, 29(3):44-47. OUYANG Jian. A study on saturation-resistivity distribution pattern of reservoirs:An in-depth analysis for the basic origin of low resistivity reservoirs[J]. Petroleum Exploration and Development, 2002, 29(3):44-47.
[4] 肖亮. 利用核磁共振测井资料评价储集层孔隙结构的讨论[J]. 新疆石油地质, 2008, 29(2):260-263. XIAO Liang. Application of NMR log data to formation pore structure evaluation[J]. Xinjiang Petroleum Geology, 2008, 29(2):260-263.
[5] 肖忠祥,张冲,肖亮. 利用孔、渗参数构造毛细管压力曲线[J]. 新疆石油地质, 2008, 29(5):635-637. XIAO Zhongxiang, ZHANG Chong, XIAO Liang. Using porosity and permeability parameters to construct capillary pressure curves[J]. Xinjiang Petroleum Geology, 2008, 29(5):635-637.
[6] 刘晓鹏,肖亮,张伟. 储层毛管压力曲线构造方法及其应用[J]. 西南石油大学学报(自然科学版), 2008, 30(6):126-130. LIU Xiaopeng, XIAO Liang, ZHANG Wei. Constructing method and application of reservoir capillary pressure curve[J]. Jounral of Southwest Petroleum University(Science & Technology Edition), 2008, 30(6):126-130.
[7] 刘卫,肖忠祥,杨思玉,等. 利用核磁共振(NMR)测井资料评价储层孔隙结构方法的对比研究[J]. 石油地球物理勘探, 2009, 44(6):773-778. LIU Wei, XIAO Zhongxiang, YANG Siyu, et al. Comparative studies on methods of evaluation of reservoir pore structure by using NMR(nuclear magnetic resonance) well logging data[J]. Oil Geophysical Prospecting, 2009, 44(6):773-778.
[8] 廖明光,巫祥阳. 毛管压力曲线分析新方法及其在油气藏描述中的应用[J]. 西南石油学院学报, 1997, 19(2):5-9. LIAO Mingguang,WU Xiangyang. A new pore-structure parameter rapex and its application in reservoir studies[J]. Journal of Southwest Petroleum Institute, 1997, 19(2):5-9.
[9] 司马立强,吴丰,缪祥禧. 龙岗地区礁滩储层有效性评价[J]. 西南石油大学学报(自然科学版), 2012, 34(1):176-182. SIMA Liqiang, WU Feng, MIAO Xiangxi. Bank reef reservoir effectiveness evaluation in Longgang District[J]. Journal of Southwest Petroleum University(Science & Technology Edition), 2012, 34(1):176-182.
[10] YAKOV V, WIN L S. A practical approach to obtain primary drain age capillary pressure curves from NMR core and log data[J]. Petrophysics, 2001, 42(4):334-343.
[11] 运华运,赵文杰,周灿灿,等. 利用T₂分布进行岩石孔隙结构研究[J]. 测井技术, 2002, 26(1):18-21. YUN Huayun, ZHAO Wenjie, ZHOU Cancan, et al. Researching rock pore structure with T₂ distribution[J]. Well Logging Technology, 2002, 26(1):18-21.
[12] 刘堂宴,王绍民,傅容珊,等. 核磁共振谱的岩石孔喉结构分析[J]. 石油地球物理勘探, 2003, 38(3):328-333. LIU Tangyan, WANG Shaomin, FU Rongshan, et al. Analysis of rock pore throat structure with NMR spectra[J]. Oil Geophysical Prospecting, 2003, 38(3):328-333.
[13] 李兴丽,杨洪伟,王培春,等. 利用测井解释渗透率获取拟毛管压力曲线的方法及其应用[J]. 中国海上油气, 2011, 23(5):322-325. LI Xingli, YANG Hongwei, WANG Peichun, et al. A method to obtain presudo-capillary pressure curves by using log-interpreted permeability and its application[J]. China Offshore Oil and Gas, 2011, 23(5):322-325.
[14] 何雨丹,毛志强,肖立志,等. 核磁共振T₂分布评价岩石孔径分布的改进方法[J]. 地球物理学报, 2005, 48(2):373-378. HE Yudan, MAO Zhiqiang, XIAO Lizhi, et al. An improved method of using NMR T₂ distribution to evaluate pore size distribution[J]. Chinese Journal of Geophysics, 2005, 48(2):373-378.
[15] 苏俊磊,孙建孟,苑吉波,等. 基于核磁共振孔隙结构的产能评价[J]. 西安石油大学学报(自然科学版), 2011, 26(3):43-47. SU Junlei, SUN Jianmeng, YUAN Jibo, et al. Reservoir productivity evaluation based on NMR pore structure[J]. Journal of Xi'an Shiyou University(Natural Science Edition), 2011, 26(3):43-47.
[16] 赵永刚,吴非. 核磁共振测井技术在储层评价中的应用[J]. 天然气工业, 2007, 27(7):42-44. ZHAO Yonggang, WU Fei. Application of nuclear magnetic resonance logging technique to reservoir evaluation[J]. Natural Gas Industry, 2007, 27(7):42-44.
[17] 欧阳键. 石油测井解释与储层描述[M]. 北京:石油工业出版社, 1994:148-152.
[18] CHENG M L. Productivity prediction from well logs in variable grain size reservoir cretaceous Qishan Formation repubile of Yemen[J]. Log Analysit,1999,40(1):24-32.
[19] 王智,许江文,谷斌. 基于测井资料的低孔低渗储层产能预测研究[J]. 西南石油大学学报(自然科学版), 2009, 31(6):51-55. WANG Zhi, XU Jiangwen, GU Bin. Low porosity and low permeability reservoir deliverability based on well logging data[J]. Journal of Southwest Petroleum University(Science & Technology Edition),2009,31(6):51-55.