岩性油藏预测技术

Technology for predicting lithological oil pools.

提出岩性油藏勘探的预测配套技术：以层序地层学理论为指导，建立层序地层格架，研究层序内各体系域沉积体纵向堆砌方式、类型及宏观展布规律，预测有利沉积体；针对预测的具体目标，进行常规有井约束地震波阻抗反演，定性预测各体系域内砂组变化规律，为部署预探井提供依据；针对预探井所揭示的有效含油砂组，应用高分辨率波阻抗反演和人工神经网络技术，进行纵向分辨、横向追踪，定量预测各含油砂组的分布范围、物性参数和含油性，为部署评价井提供依据。在开鲁盆地陆西凹陷五十家子庙洼陷及马北斜坡带岩性油藏勘探的各个阶段，应用这套综合预测技术发现了一批岩性圈闭，预测结果为储量计算提供了可靠参数，能够在钻少量井的条件下直接上报探明储量，大大减少钻探投资。该方法也适用于地震资料品质较好的各类凹陷其它类型油气藏的勘探，已在辽河外围盆地的油气勘探中广泛应用。图５参６（王孝陵摘）

Taking the discovery of lithologic oil pool of Bao 14 as a case history, the research and technique of prediction of oil accumulation are stated in this paper. Based on the theory of sequence stratigraphy, the sequence stratigraphy framework, architecture, type and distribution of sedimentary bodies of system tracts in sequence are learned and potential favorable sedimentary bodies are predicted. The impedance of predicted target is then conventionally inverted and wildcat well is assigned. The oil bearing sands revealed by the wildcat well are vertically recognized and laterally traced by the techniques of high resolution impedance inversion and neural network, the distribution, petrophysics parameters and situation of oil bearing of the sands are quantitatively predicted after discovery, which provide the basis for the assignation of evaluation wells and the estimation of reserve. Subject