Tight thin reservoir prediction in Maling Oilfield
Zhang Jie1, Zhao Deyong1, Zhao Yuhua1,2, Wang Daxing1,2, Wang Yongli1, Huang Ligang1
1. Exploration and Development Institute, Chang-qing Oilfield Company, PetroChina, Xi'an Shaanxi 710018, China;
2. National Engineering Laboratory for Low-permeability Oil/Gas Exploration and Development, Xi'an Shaanxi 710018, China
Abstract：In the Chang 81 formation, Maling Oilfield, Ordos Basin, there are two sets of tight sands, viz. Chang 811 and Chang 813. The tight sands are thin with sharp lateral variation. This paper discusses some approaches for tight thin sand prediction. Using both self-organizing neural network waveform classification and frequency decomposition, we characterize this kind of thin reservoirs based on seismic forward modeling, and also predict their distributions. The predictions are mutual corroborated by these two approaches. Results show that our approaches are efficient.
