Application of Jason multi-well constrained inversion to reservoir prediction
Hao Yin-quan · Journal of Chengdu University of Technology · 2004
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.