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.
出处
《特种油气藏》
CAS
CSCD
2010年第4期10-14,120,共5页
Special Oil & Gas Reservoirs
关键词
低阻油层
测井解释
形成机理
人工神经网络
low resistivity reservoir
log interpretation
formation mechanism
ANNs
