Due to the need for reliable prediction of reservoir performance, numerical reservoir simulation is now an institution that has been rapidly expanding in the oil industry over the past few decades.
The advances in electronic computing hardware and significant improvements in numerical analysis are two important factors that have contributed to the numerical model of the reservoir. These models make an important contribution to enhanced oil recovery. Reservoir models are used to understand and predict reservoir performance.
The history matching process is one of the most important activities in the development and management of oil reservoirs. The Matched model is important for making reliable future predictions and has a concept for the understanding of geology and reservoir models. Depending on the available field production data and the complexity of the reservoir, the history matching process can be very time-consuming. In order to realize the matching model, some changes may be made to the geological model and the reservoir model, mainly to those with higher uncertainties, such as relative permeability curves, distribution through reservoirs and several other sample parameters. One of the goals of this work is to use Schremberg’s simulation software Petrel-RE 2014 to match histories at Zhaozhouqiao Oilfield, especially Zh86 Block.
Historical matching will model and incorporate aquifer support into the system by modifying some reservoir properties, scaling the endpoints, and experimenting. The best historical match is achieved by modifying the critical water saturation (SWCR) in the system, using the Carter Tracy aquifer model to simulate aquifer support, and modifying the model’s horizontal and vertical permeability. After the historical match, two prediction strategies were developed and compared, and here we performed a forward modeling to establish a certain level of confidence in the reservoir model. Production index; forecast water content, water production, oil production, oil well production and oil production. The results and time of these indicators are presented and analyzed. The result shows that the production capacity of Zh86 block of Zhaozhouqiao Oilfield is still very good. The uncertainty and sensitivity of the reservoir model were evaluated. The effects of some reservoir properties on the volume calculation and simulation results were analyzed in Zh86 block reservoir model.
We can see the effect of our Sw and uncertainty on the volumetric calculations in this model. The effects of horizontal well grid resolution are also studied. The integrated model of Zh86 block is established, the horizontal and vertical grid resolution are selected, and then the properties are enlarged to the model and placed under impervious shale to determine each The best location for the model.
Using a model with fine grid resolution enables you to place the well in the best place in the reservoir model