摘要
喇嘛甸油田开发至今,剩余油已高度分散,开采难度逐步加大。针对喇嘛甸油田"砂包泥"型储层非均质性强、砂体分布复杂的特点,探索研究了井震结合储层砂体反演预测方法。主要采用曲线重构随机反演方法识别砂岩及其有效厚度,运用井震反演结果分析单期河道砂体垂向叠置关系、河道砂体几何形态及单期河道边界,确定量化识别河道砂体的技术标准,制作沉积相修正图版,归纳出河道连续性、河道规模和河道组合3种模式,结合井点资料的相别,对各类微相的组合形态进行有效预测,从而揭示了沉积微相平面展布情况,提高储层描述精度。经喇嘛甸油田井间沉积微相的识别及验证,预测方法具有一定的推广价值。
At present,the development of Lamadian Oilfield is characterized by rather highly scattered / fragmented remained oil,and up to now its exploitation difficult has gradually increased. In the light of the characteristics of the strong heterogeneity of the 'mud-in-sand'type reservoirs and complex distribution of the sandbodies in the oilfield,the predicting method of the sandbody inversion was explored and researched with the help of the well and seismic integration. The sandstones and effective thickness were identified mainly by the curve-reconstruction random inverting method,the vertical superimposed relationships of the single-period channel sandbodies,geometrical configurations of the sandbodies and boundary of the channel were analyzed by the well and seismic inversion results,and moreover the technical standards of quantitatively recognizing the channel sandbodies were determined,and then the correcting charts of the sedimentary facies were mapped,three kinds of modes: the river continuity,channel size and the combination were deduced. Finally integrating with the phase types of the well-point data,the combination configurations were effectively predicted for each kind of the microfacies,thus the planar distributions of the sedimentary microfacies were revealed,and furthermore the characterization precisions of the reservoirs were enhanced. Recognized and proven by the sedimentary microfacies among the wells of Lamadian Oilfield,the predicting method possesses a certain value of the generalization.
出处
《大庆石油地质与开发》
CAS
CSCD
北大核心
2016年第4期143-146,共4页
Petroleum Geology & Oilfield Development in Daqing
关键词
井震结合
随机反演
预测方法
喇嘛甸油田
河流相
沉积微相
well and seismic integration / combination
random inversion
predicting method
Lamadian Oilfield
fluvial facies
sedimentary microfacies