Abstract

Abstract CFD11-X is an offshore oilfield in Bohai Bay Basin. Since the drilling data is less and the resolution of seismic data is not high in the deep, our knowledge to the fault system and sand bodies is not sufficient. During the implementation of overall development plan (ODP), it gradually exposes the problems that the prediction errors of sand bodies and fluid system are serious for some development wells and the geologic risk is underestimated. These problems make the ODP less effective and cause some wastes of investment directly. To solve the problems, the authors applied ant tracking algorithm and geological statistics inversion synthetically in reservoir characterization study. On one hand, we apply ant tracking algorithm to identify the faults which are too complex and indistinct to be interpreted manually. On the other hand, we apply geological statistics inversion to describe the distribution of sand bodies. After that both the faults and sand bodies are extracted and overlaid together. By use of multiple materials and methods, we analyze every fault to classify and screen them in both "possibility of existing" and "influences on oil in place and oilfield development" aspects. With the new perception of fault system and sand bodies, we build geological models to improve the geologic risk prediction. Finally under the guidance of our study, both the geologic risk and potential of each well to be implemented in ODP are reevaluated and optimized. Recently we choose two of the wells as pilot tests. It is confirmed by the two wells that our prediction of the sand bodies and fluids are both quite accurate with the guidance of reservoir characterization study. In the context of the current low oil price, our study effectively reduces the cost of development, decreases the investment risk and increases the return of investment.

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