Geostatistical Inversion for Accurate Carbonate Reservoir Prediction - A Case Study in Leijia Area of Liaohe Oilfield

Carbonates are widely developed and favorable reservoirs in Sha4 member in Leijia area, Liaohe Oilfield. However, conventional poststack deterministic inversion using constrained sparse spike method demonstrates failed prediction of carbonate distribution due to the overlap of P-impedance between the reservoirs and other lithologies, which makes wrong guidance for the reservoir characterization and well design. Fortunately, resistivity is proven as an effective parameter for the prediction of lithofacies in the target area. Integrated with resistivity curves from multiple wells in the study area, geostatistical inversion is employed to predict the distribution of carbonate reservoir. Promising and high resolution inversion result can be seen compared with the wells which serve as the checking ones. Besides, interesting discussion about uncertainty analysis with multiple results from geostatistical inversion is implemented, which is of great significance to the guidance for the further exploration and development in this area.