【摘要】 长岭1号气田蕴含了丰富的天然气资源,其中绝大部分储存在营城组火山岩中。营城组火山岩主要为酸性火山岩,具有岩性复杂、孔洞缝较发育及储层难预测等特点。制约火山岩气藏开发的关键问题是能否准确识别和预测岩性。针对目前本地区对岩性、岩相认识不清的问题,充分利用岩芯、成像测井、岩屑和常规测井等各种有效信息,借助神经网络技术,建立了单井岩相解释模型。在此基础上,提出了火山岩体控岩相建模的策略,将确定性建模与随机建模相结合,建立了火山岩三维岩相分布模型,实现了火山岩岩性的空间展布预测,为气藏的开发提供了依据。更多还原

【Abstract】 There is abundant natural gas resources in Changling No.1 Gas Field,most of it is accumulated in igneous rock reservoirs of Yingcheng Formation.The igneous rocks of the Formation are dominated by acidic igneous rocks with the characteristics of complex lithology.Well developed pore-vug-fracture are hard to predict.The key issue constraining the development of the igneous rock reservoirs is if the lithology can be correctly identified and predicted.Aiming at the issue of unclear understanding of the lithology and lithofacies within the area,by means of fully use of the effective data such as core,imaging well logging,cutting and conventional logging,as well as neural network technology,lithofacies interpretation model of single well is established.On the basis of it,the strategy of igneous lithofacies modeling is presented,by integrating the deterministic modeling with stochastic modeling,the 3-D lithofacies distribution model of igneous rocks is set up.The spatial distribution prediction of lithology is carried out,which provides the evidence for the development of the reservoirs.更多还原