A Study On Fine Reservoir Description Of Chang2Reservoir Of Yu Jiaping Oil Field

The research of Fine Reservoir Description focuses on the characterization of remaining oil distribution. It is an inter-discipline subject consisting of geology, reservoir engineering, numerical simulation technology and so on. It carries out reservoir characteristics comprehensive research and analyzes development performance and water flooding effect. It predicts and demonstrates the oil field development adjustment plan, optimizes production measures by establishing three-dimensional geological model and performs numerical simulation.In this research, we apply the methodology and theory of Fine Reservoir Description to study the area, Chang2Reservoir of Yu jiaping oil field, which has been exhibited un-even distribution of formation pressure, loss of single-well productivity, unbalance of well group injection-production, and low water flooding control degree.Chang2Reservoir of Yu Jiaping is a low-porosity, low permeability structural-lithologic oil pool with strong anisotropy. The reservoir is controlled by its boundary and structure. Oil saturation of main river in microfiches and prominent are higher than others. The effect of water flooding program in this reservoir is obvious. But with the influence of well network and reservoir heterogeneity which mainly caused by the fractures, there are still needs to optimize the well network. We use the numerical simulation to construct how residual oil distributes in the reservoir. And found that the well network, perforated zone, well pattern and artificial fractures are the main reasons of this distribution. Thus, by analyzing the well spacing density, we get the conclusion that the liquid producing capacity increase as well spacing density increase. And that the production capacity increase with the well spacing density because of the reason that they are both in the medium water cut stage. Finally, we proposed the prediction scheme has improved reservoir development adjustment effect, mainly has carried on the proof to the well network density.