Jason多井约束反演技术在油气储层预测中的应用

Application of Jason multi-well constrained inversion to reservoir prediction

Jason多井约束反演技术是一种基于模型的反演方法。其原理是通过最大似然反褶积求得一个具有稀疏特性的反射系数序列,然后通过最大似然反演导出宽带波阻抗;优点是能获得宽频带的反射系数,具有多种建模方法,通过对多种模型进行比较分析,使地质模型更趋合理,反演结果更加真实可靠。运用该技术对HX油田的储层进行了预测,预测结果与实际资料吻合得很好。

Jason multi-well constrained inversion is a kind of inversion method based on models. The paper presents the main principle, merit, workflow of the method. The principle is to use maximum-likelihood deconvolution (MLD) to get spare reflectivity, and then get wide-band impedance through maximum-(likelihood) inversion. Its merit is able to get wide-band reflection coefficient sequence and has many (methods) of model-building. Using comparing the authors can gain a reasonable geological model and (creditable) inversion results. The authors forecast the characters of reservoirs in HX oilfield using Jason, and the forecasted results consistent with factual data.