基于相控地质统计学反演的开发可动用储量品质评价——以珠江口盆地B油田为例
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摘要
珠江口盆地B油田为碳酸盐岩复杂低渗生物礁、滩油田。为实现开发可动用储量品质评价及后期井位部署,针对碳酸盐岩储层纵横向非均质性强、储层连通性差异大等地质难题,运用相控约束地质统计学反演技术,进行了有效储层刻画;采用储层物性、储量规模、储量丰度等多因素分析方法,实现了开发可动用储量品质综合评价。结果表明滩礁灰岩有效储层纵向上呈"三段式条带式层状""团块状"分布特征,平面上主要分布在高部位;储层品质可细分为五类,应优先动用纵向品质高的区域,探明可动用储量为1 000余万立方米,动用储量占全探明储量的89.8%。研究对类似复杂碳酸盐岩油藏开发前期可动用储量分析具有借鉴意义。
B oilfield in Pearl River Mouth basin is a complex and low permeability reef and beach oilfield. Limited to the geological problems such as strong vertical and horizontal heterogeneity, large connectivity of carbonate reservoirs and so on, it has brought great challenges to the development of low permeability reservoir and the deployment of well position. Based on the study of facies controlled geo-statistical inversion technology, the effective reservoir characterization of complex carbonate reservoir in B oilfield has been realized. Combined with the factors such as reservoir physical property, reserve scale and reserve abundance, we completed quality evaluation of development available reserves and confirmed the most reliable development range finally. The results show that the effective reservoirs of beach reef limestone are characterized by "three-stage strip-like stratification" and "mass-like" distribution in the vertical direction, and mainly distributed in the high position in the plane. The reservoir quality can be divided into five categories, and priority should be given to the use of areas with high vertical quality. The proven available reserves are more than 10 million square meters, and the produced reserves account for 89.8% of the total proven reserves. The study can be used for reference in the development of similar complex carbonate reservoirs in the early stage of development.
B oilfield in Pearl River Mouth basin is a complex and low permeability reef and beach oilfield. Limited to the geological problems such as strong vertical and horizontal heterogeneity, large connectivity of carbonate reservoirs and so on, it has brought great challenges to the development of low permeability reservoir and the deployment of well position. Based on the study of facies controlled geo-statistical inversion technology, the effective reservoir characterization of complex carbonate reservoir in B oilfield has been realized. Combined with the factors such as reservoir physical property, reserve scale and reserve abundance, we completed quality evaluation of development available reserves and confirmed the most reliable development range finally. The results show that the effective reservoirs of beach reef limestone are characterized by "three-stage strip-like stratification" and "mass-like" distribution in the vertical direction, and mainly distributed in the high position in the plane. The reservoir quality can be divided into five categories, and priority should be given to the use of areas with high vertical quality. The proven available reserves are more than 10 million square meters, and the produced reserves account for 89.8% of the total proven reserves. The study can be used for reference in the development of similar complex carbonate reservoirs in the early stage of development.
引文
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[15]胡光义,范廷恩,宋来明,等.海上油田开发前期研究阶段储量品质评估方法及其应用:以渤南地区明化镇组储层为例[J].中国海上油气,2013,25(1):33-36.
[16]徐安娜,董月霞,韩大框,等.地震、测井和地质综合一体化油藏描述与评价:以南堡1号构造东营组一段油藏为例[J].石油勘探与开发,2009,36(5):541-550.
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[19]何火华,李少华,杜家元,等.利用地质统计学反演进行薄砂体储层预测[J].物探与化探,2005,26(4):804-808.
[20]黄捍东,罗群,付燕,等.地震相控非线性随机反演研究与应用[J].石油地球物理勘探,2007,42(6):694-698.
[21]薛艳霞,廖新武,赵春明,等.基于随机建模技术的油田开发初期河流相储层不确定性分析方法:以渤海A油田为例[J].岩性油气藏,2010,24(1):80-84.
[22]周超宇.地质统计学地震反演技术在溱潼南华地区薄砂层的预测应用[J].非常规油气,2018,5(4):23-26.
[23]刘立峰,孙赞东,杨海军,等.塔中地区碳酸盐岩储集相控建模技术及应用[J].石油学报,2010,31(6):952-958.
[2]吴胜和.储层表征与建模[M].北京:石油工业出版社,2010:341-344.
[3]宋东锋.东营凹陷南坡湖相碳酸盐岩储层评价方法研究[J].非常规油气,2018,5(2):16-23.
[4]HASS A,DUBRULE O.Geostatistical inversion:a random reservoir sequential simulation method constrained by seismic data[J].Geophysics,First Break,1994,12(11):124-129.
[5]DUBRULE O,THIBAUT M,LAMY P H.Geostatistical reservoir characterization constrained by 3dseismic data[J].Petroleum Geoscience,1998,4(2):121-128.
[6]ROTHMAN D H.Geostatistical inversion of 3-D seismic data for thin-sand delineation[J].Geophysics,1998,51(2):332-346.
[7]CLAYTON V D.Geostatistical reservoir modelling[M].London:Oxford University Press,2002:193-244.
[8]TORRES V C,VICTORIA M,PENDREL J,et al.Tracebased and geostatistical inversion of 3-D seismic data for thinsand delineation,an application in San Jorge Basin,Argentina[C]//The Leading Edge,September Issue,1999:1070-1076.
[9]杨鹏飞,张丽娟,郑多明,等.塔里木盆地奥陶系碳酸盐岩大型缝洞集合体定量描述[J].岩性油气藏,2013,25(6):89-94.
[10]吴小军,李晓梅,谢丹,等.多点地质统计学方法在冲积扇构型建模中的应用[J].岩性油气藏,2015,27(5):87-91.
[11]闵小刚,康安,周守信.基于相控地质统计学反演的薄储层岩性、物性预测[J].海洋地质前沿,2015,31(3):27-32.
[12]于兴河,陈建阳,张志杰,等.油气储层相控随机建模技术的约束方法[J].地学前缘,2015,12(3):237-244.
[13]王香文,刘红,滕彬彬,等.地质统计学反演技术在薄储层预测中的应用[J].石油与天然气地质,2012,33(5):730-735.
[14]戴婉薇,范乐元,胡圣利,等.基于地质统计学反演和储层分类的相控储层建模方法研究及应用[J].地质科技情报,2017,36(1):236-241.
[15]胡光义,范廷恩,宋来明,等.海上油田开发前期研究阶段储量品质评估方法及其应用:以渤南地区明化镇组储层为例[J].中国海上油气,2013,25(1):33-36.
[16]徐安娜,董月霞,韩大框,等.地震、测井和地质综合一体化油藏描述与评价:以南堡1号构造东营组一段油藏为例[J].石油勘探与开发,2009,36(5):541-550.
[17]岳大力,吴胜和,林承焰,等.流花11-1油田礁灰岩油藏沉积-成岩演化模式[J].石油与天然气地质,2005,26(4):518-523.
[18]张向涛,汪旭东,张素芳,等.台内薄层礁滩型碳酸盐岩储层定量描述及控制因素:以珠江口盆地A地区为例[J].石油与天然气地质,2011,35(6):417-424.
[19]何火华,李少华,杜家元,等.利用地质统计学反演进行薄砂体储层预测[J].物探与化探,2005,26(4):804-808.
[20]黄捍东,罗群,付燕,等.地震相控非线性随机反演研究与应用[J].石油地球物理勘探,2007,42(6):694-698.
[21]薛艳霞,廖新武,赵春明,等.基于随机建模技术的油田开发初期河流相储层不确定性分析方法:以渤海A油田为例[J].岩性油气藏,2010,24(1):80-84.
[22]周超宇.地质统计学地震反演技术在溱潼南华地区薄砂层的预测应用[J].非常规油气,2018,5(4):23-26.
[23]刘立峰,孙赞东,杨海军,等.塔中地区碳酸盐岩储集相控建模技术及应用[J].石油学报,2010,31(6):952-958.