LITHOLOGICAL SCRUTINY OF A SANDY CONGLOMERATE RESERVOIR:TAKING CFD OILFIELD IN BOHAI AS AN EXAMPLE

SUN Fengtao; TIAN Xiaoping; LV Shicong; LIU Jiaqi; ZHANG Yue

doi:10.16028/j.1009-2722.2018.02005

2018 Vol. 34, No. 2

Article Contents

Article navigation > Marine Geology Frontiers > 2018 > 34(2): 31-37

Next Article Previous Article

SUN Fengtao, TIAN Xiaoping, LV Shicong, LIU Jiaqi, ZHANG Yue. LITHOLOGICAL SCRUTINY OF A SANDY CONGLOMERATE RESERVOIR:TAKING CFD OILFIELD IN BOHAI AS AN EXAMPLE[J]. Marine Geology Frontiers, 2018, 34(2): 31-37. doi: 10.16028/j.1009-2722.2018.02005

Citation:

SUN Fengtao, TIAN Xiaoping, LV Shicong, LIU Jiaqi, ZHANG Yue. LITHOLOGICAL SCRUTINY OF A SANDY CONGLOMERATE RESERVOIR:TAKING CFD OILFIELD IN BOHAI AS AN EXAMPLE[J]. Marine Geology Frontiers, 2018, 34(2): 31-37. doi: 10.16028/j.1009-2722.2018.02005

LITHOLOGICAL SCRUTINY OF A SANDY CONGLOMERATE RESERVOIR:TAKING CFD OILFIELD IN BOHAI AS AN EXAMPLE

Tianjin Branch of CNOOC Limited, Tianjin 300459, China

Received Date: 22 September 2017

Publish Date: 28 February 2018

Abstract

Abstract

The sandy conglomerate usually has large thickness, coarse grain size, less mud, dramatic change in lithofacies and strong heterogeneity. Such properties will bring difficulties to reservoir evaluation, especially in offshore area when oil exploration wells are few. This paper takes the CFD oilfield in the Bohai Bay as an example. Data of core, thin section, grain size, and logging are integrated. Combined the logging with lithology, a set of lithology discrimination model is made for reservoir identification. By description of microscopic features of pore types, pore structures and properties, we analyzed the relationship of sedimentary microfacies, lithology and properties. It is considered that lithology is the major controlling factor of reservoir property, upon which the most favorable reservoir is identified. Finally, the prediction of the spatial distribution pattern of reservoir is made with seismic attributes extracted. The results have founded a detailed geological basis for oilfield development program and provided technical references for describing the thick reservoir formed under similar geological conditions.
- sandy conglomerate /
- sedimentary facies /
- lithology recognition /
- reservoir evaluation /
- superiority reservoir

FullText(HTML)

References

[1]	高祥成, 钟建华, 雷敏, 等.东营凹陷北部陡坡带深层砂砾岩体沉积特征及控制因素——以丰深1地区为例[J].石油地质与工程, 2008, 22(1):7-8. Google Scholar
[2]	于建国, 姜秀清.东营凹陷北部陡坡带砂砾岩体的内幕研究[J].复式油气田, 1998(1):47-50. Google Scholar
[3]	谢风猛, 武法东, 陈建渝, 等.渤海湾盆地滨南油田砂砾岩扇体空间展布与成藏规律[J].石油实验地质, 2002, 24(4):335-337. Google Scholar
[4]	董春梅, 林承焰, 侯连华, 等.储集砂砾岩体成因、分布规律及形成条件探讨——以辽河西部凹陷高升油田高二、三区为例[J].石油实验地质, 1996, 18(3):289-293. doi: 10.1007/BF02951625 CrossRef Google Scholar
[5]	Sang H L, Arun K, Akhil D G. Electrofacies Characterization and Permeability Predictions inComplexReservoirs[J].SPEReservoir Evaluation & Engi-neering, 2002(6):238-246. Google Scholar
[6]	刘传虎, 高永进.砂砾岩扇体油藏测井解释难点与对策[J].特种油气藏, 2011, 18(6):35-37. Google Scholar
[7]	杨香华, 陈红汉, 叶加仁, 等.渤海湾盆地渤中凹陷古近系沉积体系演化及物源分析[J].中国海上油气(地质), 2000, 14 (4):225-231. Google Scholar
[8]	吴磊, 徐怀民, 季汉成.渤中凹陷大型湖泊三角洲的发育特征及油气勘探前景[J].海洋地质与第四纪地质, 2006, 26 (1):81-88. Google Scholar
[9]	于兴河.碎屑岩系油气储层沉积学[M].北京:石油工业出版社, 2008. Google Scholar
[10]	杨国涛, 李娜, 吴鑫, 等.南堡凹陷拾场次凹沙三段优势储层预测技术[J].特种油气藏, 2014, 21(6):10-14. doi: 10.3969/j.issn.1006-6535.2014.06.003 CrossRef Google Scholar
[11]	施和生, 雷永昌, 吴梦霜, 等.珠一坳陷深层砂岩储层孔隙演化研究[J].地学前缘, 2008, 15(1):171-175. Google Scholar
[12]	万欢, 黄文辉, 王华军.东营凹陷北部陡坡带沙河街组四段砂砾岩成岩作用[J].特种油气藏, 2012, 19(3):39-42. doi: 10.3969/j.issn.1006-6535.2012.03.009 CrossRef Google Scholar
[13]	朱庆忠, 李春华, 杨合义.廊固凹陷沙三段深层砾岩体油藏成岩作用与储层孔隙关系研究[J].特种油气藏, 2003, 10(3):15-17. doi: 10.3969/j.issn.1006-6535.2003.03.005 CrossRef Google Scholar
[14]	王艳红, 袁向春, 范二平, 等.盐家油田永921块沙四上砂砾岩储层特征研究[J].特种油气藏, 2014, 21(1):31-34. doi: 10.3969/j.issn.1006-6535.2014.01.007 CrossRef Google Scholar
[15]	王永诗, 王勇, 朱德顺, 等.东营凹陷北部陡坡带砂砾岩优质储层成因[J].中国石油勘探, 2016, 21(2):28-36. doi: 10.3969/j.issn.1672-7703.2016.02.004 CrossRef Google Scholar
[16]	付检刚.地震属性分析在大庆长垣北二西区块储层预侧中的应用[D].大庆: 东北石油大学, 2011. Google Scholar
[17]	高文博.红台地区储层预测应用研究[D].荆州: 长江大学, 2012. Google Scholar