低阻油层形成机理及测井识别方法研究
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摘要
随着油气勘探程度的不断深化,非常规油气藏在油气勘探中不断被发现,在实际的勘探过程中低阻油层的储量和产量都在不断增加。低阻油层在沉积环境、岩性、亲水性、黏土性质、孔隙结构等方面都具有自身特征。由其表现出的特征反推其成因机理,推知低阻油层主要成因是高矿化度地层水、高黏土含量、微裂缝发育、油层薄等。根据成因机理可以预测低阻油层,在低阻油层的勘探过程中,主要任务就是识别低阻油层。由于低阻油层的勘探多是在老油田中进行,测井资料比较丰富,因此基于测井资料的低阻油层识别显得尤为重要,目前最常用的是重叠法、自然电位偏移法、"双水模型"法、人工神经网络法等技术方法。由于低阻油层的特殊性,通常情况下仅靠某一种方法、一种资料不能将其识别出来,应广泛结合地震、录井、试井以及地质等各方面的资料进行综合识别。
Unconventional reservoirs are increasingly discovered in the process of oil and gas exploration.The reserves and production of low resistivity reservoirs are also increasing.Low resistivity reservoirs show unique characteristics in depositional environment,lithology,hydrophilic nature,clay property,and pore structure,etc.From the characteristics of low resistivity reservoirs we can deduce that the main genesis attributes to high-salinity formation water,high clay content,micro-fracture growth,oil sheet and so on.Low resistivity reservoir can be identified and predicted according to its formation mechanism.The exploration of low resistivity reservoirs are mostly carried out in old oilfields where there is a wealth of logging data,therefore logging data-based identification is very important.The most commonly used methods are deconvolution,SP deflection,"double-water model",and artificial neural network,etc.Low resistivity reservoirs usually cannot be identified only by one method or data because of their special features.A comprehensive identification shall be conducted by combining with seismic,mud logging,well testing and geological data.
Unconventional reservoirs are increasingly discovered in the process of oil and gas exploration.The reserves and production of low resistivity reservoirs are also increasing.Low resistivity reservoirs show unique characteristics in depositional environment,lithology,hydrophilic nature,clay property,and pore structure,etc.From the characteristics of low resistivity reservoirs we can deduce that the main genesis attributes to high-salinity formation water,high clay content,micro-fracture growth,oil sheet and so on.Low resistivity reservoir can be identified and predicted according to its formation mechanism.The exploration of low resistivity reservoirs are mostly carried out in old oilfields where there is a wealth of logging data,therefore logging data-based identification is very important.The most commonly used methods are deconvolution,SP deflection,"double-water model",and artificial neural network,etc.Low resistivity reservoirs usually cannot be identified only by one method or data because of their special features.A comprehensive identification shall be conducted by combining with seismic,mud logging,well testing and geological data.
引文
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①王辉.姬源地区高束缚水成因低阻油层测井识别方法研究[D].中国地质大学(北京),2005.
②秦菲莉.东濮凹陷低电阻率油层解释方法研究[D].中国石油大学(华东),2007.
③闫磊.北大港地区低阻储层成因分析及测井评价方法[D].吉林大学,2008.
④梁春秀.松辽盆地南部低阻油层形成机理与定量评价[D].成都理工大学,2003.
[2]王艳,陈清华.苏北盆地低阻油层的成因及识别[J].断块油气田,2009,16(1):31-33.
[3]邵春华.吐哈油田稠油层低阻成因分析及测井识别方法[J].吐哈油气,2004,11(4):373-375.
[4]付明世,李文海,贾瑞忠,等.文留油气田滚动勘探开发研究[J].特种油气藏,2005,12(3):17.
[5]洪水密.测井原理与综合解释[M].东营:石油大学出版社,1992:322-323.
[6]陈东亮,王杰.低阻油层的测井识别技术及成因分析[J].内蒙古石油化工,2007,33(7):139-140.
[7]中国石油勘探与生产公司.低阻油气藏测井识别评价方法与技术[M].北京:石油工业出版社,2006:170-271.
[8]徐金宁.低阻油层成因及测井识别技术[J].科技咨询导报,2007(14):87.
[9]赵国欣.改进的双水模型在曲堤油田低电阻油层中的应用[J].油气地质与采收率,2008,15(6):50-51.
[10]Mohsen Saem.iDesign of neural networks using geneticalgorithm for the reservoir[J].Journal of Petroleum Sc i-ence and Engineering,2007,59:97-105.
[11]杨庆军,邓春呈,杨永利,等.人工神经网络在低阻油层识别上的应用[J].特种油气藏,2001,8(2):8-10.
[12]Ham ada G M.Petrophysical evaluation of low-resistivi-ty sandstone reservoirs w ith nuc lear m agnetic resonancelog[J].Journal of Petroleum Sc ience and Engineering,2001,29:129-138.
[13]张高玖,刘庆宏.新庄稠油低阻油层测井解释方法研究[J].石油天然气学报,2008,30(3):260-265.
①王辉.姬源地区高束缚水成因低阻油层测井识别方法研究[D].中国地质大学(北京),2005.
②秦菲莉.东濮凹陷低电阻率油层解释方法研究[D].中国石油大学(华东),2007.
③闫磊.北大港地区低阻储层成因分析及测井评价方法[D].吉林大学,2008.
④梁春秀.松辽盆地南部低阻油层形成机理与定量评价[D].成都理工大学,2003.
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