油气勘探

南美Putomayo-Oriente-Maranon盆地成藏组合划分与资源潜力评价

  • 马中振 ,
  • 陈和平 ,
  • 谢寅符 ,
  • 张志伟 ,
  • 刘亚明 ,
  • 阳孝法 ,
  • 周玉冰 ,
  • 王丹丹
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  • 中国石油勘探开发研究院,北京 100083
马中振(1980-),男,辽宁营口人,博士,中国石油勘探开发研究院高级工程师,主要从事美洲地区含油气盆地石油地质与资源评价方面的研究工作。地址:北京市海淀区学院路20号,中国石油勘探开发研究院美洲研究所,邮政编码:100083。E-mail:mazhongzhen@petrochina.com.cn

收稿日期: 2016-08-22

  修回日期: 2017-02-12

  网络出版日期: 2017-05-22

基金资助

国家科技重大专项(2016ZX05029005); 中国石油天然气股份有限公司重大科技项目(2013E-0501); 中国石油集团公司重大科技专项(2016D-4301)

Division and resources evaluation of hydrocarbon plays in Putomayo-Oriente-Maranon Basin, South America

  • MA Zhongzhen ,
  • CHEN Heping ,
  • XIE Yinfu ,
  • ZHANG Zhiwei ,
  • LIU Yaming ,
  • YANG Xiaofa ,
  • ZHOU Yubing ,
  • WANG Dandan
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  • Research Institute of Petroleum Exploration & Development, PetroChina, Beijing 100083, China

Received date: 2016-08-22

  Revised date: 2017-02-12

  Online published: 2017-05-22

摘要

为了对南美洲谱图马约-奥连特-马拉农(简称POM)盆地油气资源潜力开展重新评价,基于最新的地震、测井和油气藏储量等数据,在盆地成藏要素综合分析基础上,以储集层为核心划分出9套成藏组合。以成藏组合为核心,采用主观概率法和规模序列法预测9套成藏组合内待发现油气可采资源量11.0×108 t,其中Hollin组砂岩、Napo组T段砂岩、Napo组U段砂岩和Napo组M1段砂岩4套成藏组合内待发现可采资源量(10.4×108 t)占全盆地待发现可采资源量的94%。在烃源岩、储集层、圈闭、运移、盖层和保存等成藏要素评价的基础上,应用资源-地质风险概率双因素法评价出4个Ⅰ类成藏组合、2个Ⅱ类成藏组合、3个Ⅲ类成藏组合。应用成藏组合范围叠合法优选出盆地中部为最有利勘探区。图6表3参34

本文引用格式

马中振 , 陈和平 , 谢寅符 , 张志伟 , 刘亚明 , 阳孝法 , 周玉冰 , 王丹丹 . 南美Putomayo-Oriente-Maranon盆地成藏组合划分与资源潜力评价[J]. 石油勘探与开发, 2017 , 44(2) : 225 -234 . DOI: 10.11698/PED.2017.02.06

Abstract

Based on the latest seismic, logging and reservoir reserve data, through hydrocarbon accumulation elements analysis, the play of Putomayo-Oriente-Maranon (POM) basin, South America is divided. The POM basin was divided into 9 plays, and the undiscovered petroleum resources of these plays are estimated as 11.0×108t by using subjective probability method and scale sequential method; and the total undiscovered petroleum resources of the Hollin sandstone play, Napo T member sandstone play, Napo U member sandstone play and Napo M1 member sandstone play are 10.4×108t (accounting for 94% of the whole basin). Based on hydrocarbon accumulation factors analysis, including source rock, reservoir, trap, migration, seal and preservation, the plays have been evaluated and ranked by using double factors method of resources-geological risks, including four class I plays, two class II and three class III plays. Favorable exploration areas have been optimized by using "plays area overlaying" method: the central part of the basin is the class I favorable area.

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