Assessment Of Reserves In Anticline Structures Based On Sparse Exploration Data-A Case Study From The Pearl River Mouth

The "two-step" method of fine evaluation is deployed for less drilling, less data and low well control in early development of offshore oilfield. Firstly, A-D, K-S and chi 2 methods are used to test the distribution model of reservoir parameters. Secondly, the probability distribution model plate of reservoir parameters is established to accurately predict the geological reserves of the new oilfield. In this paper, a saddle-like reservoir and a platformlike reservoir (both of anticline) of T oil field in the Pearl River Mouth Basin are selected as the target reservoirs. Firstly, the rationality of reservoir parameters are checked. Secondly, due to the two-limb and interwell structure are deep with a long gentler section in the platform-like structure, the shape factor method was used to simulate the rock volume model to divide the irregular structure into N modules, which can accurately describe the structure of the reservoir and reduce the influence of the irregular structure. Finally, the distribution model of various parameters of reserves was established. The results show that the P_mean reserve of two reservoirs calculated by the approximate algorithm is close to the reverse scale estimated by the deterministic method, and the reserve errors are 2.5% and 3% respectively. For platform-like structure reservoirs, infill wells could be deployed along the fold axis of the structure if one horizontal well near the exploration well is drilled. For saddlelike structure reservoirs, it is recommended to deploy production wells along the fold axis of the structure at the two high points of the structure. The well location designed above has been incorporated into the economic development plan of the oilfield.