Evaluation of glutenite heavy oil reservoir based on multi-mineral log interpretation method

WANG Bin; PAN Jianguo; YIN Lu; TAN Kaijun; HUANG Yu

doi:10.3969/j.issn.1673-8926.2013.03.018

Lithologic Reservoirs >

2013 , Vol. 25 >Issue 3: 102 - 105

DOI: https://doi.org/10.3969/j.issn.1673-8926.2013.03.018

Evaluation of glutenite heavy oil reservoir based on multi-mineral log interpretation method

WANG Bin ,
PAN Jianguo ,
YIN Lu ,
TAN Kaijun ,
HUANG Yu

Expand

1. Geophysics and Oil Resource Institute， Yangtze University， Wuhan 430100， China； 2. Research Institute of Exploration and Development， PetroChina Jidong Oilfield Company， Tangshan 063004， China； 3. Well Logging Company，CNPC Xibu Drilling Engineering Co. Ltd.， Karamay 834000， China

Online published: 2013-06-01

Fold

Abstract

The log interpretation for glutenite heavy oil reservoir is difficult because of its complexity of porosity and permeability and its special fluid property. Multi-mineral log interpretation method can effectively utilize all kinds of logging information to get reservoir parameters accurately. The reservoir JMSR area is mainly of glutenite with complex mineral composition. By using multi-mineral model optimization method, we obtained the porosity and mineral composition content and computed the permeability with Scheidger formula, and the results are in accord with the actual core data. The multi-mineral log interpretation method can be used to recognize heavy oil reservoirs by computing mud invade depth, can increase interpretation coincidence rate and provide dependable data for exploitation in JMSR area.

Key words： double pore parameters; heterogeneity; Archie formula

Cite this article

WANG Bin , PAN Jianguo , YIN Lu , TAN Kaijun , HUANG Yu . Evaluation of glutenite heavy oil reservoir based on multi-mineral log interpretation method[J]. Lithologic Reservoirs, 2013 , 25(3) : 102 -105 . DOI: 10.3969/j.issn.1673-8926.2013.03.018

References

［1］ Chu Weichun，Steckhan J. A practical approach to determine lowresistivity pay in clastic reservoirs［R］. SPE 147360，2011：1-8.
［2］ Mogbolu P O. Identification and quantification of thinly bedded low resistivity pay in the niger delta［R］. SPE 141133，2010：1-7.
［3］杨春梅，周灿灿，程相志.低电阻率油层成因机理分析及有利区预测［J］.石油勘探与开发，2008，35（5）：600-601.
［4］ Worthington P F. Recognition and evaluation of low-resistivity pay［J］. Petroleum Geoscience，2000，6（1）：77-92.
［5］廖明光，唐洪，苏崇华，等. W 低阻油藏高不动水饱和度的成因及对低阻油层的影响［J］.石油实验地质，2010，32（4）：53-57.
［6］王赛英，赵冠军，张萍，等.低阻油层形成机理及测井识别方法研究［J］.特种油气藏，2010，17（4）：10-12.
［7］郭顺，王震亮，张小莉，等.陕北志丹油田樊川区长61 低阻油层成因分析与识别方法［J］.吉林大学学报：地球科学版，2012，42（1）：21-22.
［8］王建民.陕北志丹地区长6—长2 油层组水退型三角洲沉积演化特征［J］.石油勘探与开发，2008，35（2）：182-183.
［9］曲春霞，杨秋莲，刘登飞，等.长庆油田延长组特低渗透储层物性影响因素分析［J］.岩性油气藏，2008，20（2）：43-46.
［10］ Hamada G M，Al-Awad M N J. Petrophysical evaluation of low resistivity sandstone reservoirs［J］. Journal of Canadian Petroleum Technology，2000，39（7）：7-13.
［11］高霞，谢庆宾.低电阻率油气藏研究方法评述［J］.内蒙古石油化工，2006，8：144-146.
［12］梁忠奎.复杂孔隙结构高不动水低阻油层识别评价［D］.大庆：大庆石油学院，2010.
［13］程妮，李和，张锦峰，等.靖边青阳岔油区低阻油层形成因素分析［J］.特种油气藏，2010，17（6）：60-61.
［14］陈峰.低阻油藏形成机理分析［J］.化学工程与装备，2007，7：39-41.
［15］王赛英，赵冠军，张萍，等.低阻油层形成机理及测井识别方法研究［J］.特种油气藏，2010，17（4）：10-12.
［16］李渭.安塞坪桥油区长6 油层组测井储层评价［D］.西安：西北大学，2009.

Options

Outlines

模态框（Modal）标题

Abstract

Cite this article

References