INTEGRATED RESERVOIR PREDICTION UNDER HIGH RESOLUTION SEQUENCE STRATIGRAPHIC FRAMEWORK

The application of high-resolution sequence stratigraphy remains a big concern in the early stage of development of oil and gas fields. The recent development of high resolution seismic technology together with the accumulation of geological data have made it possible to carry out high-resolution sequence stratigraphy study in the early stage of oilfield development for reservoir prediction. Taking the deltaic reservoir of a braided river in the G oilfield in the L Basin of Sudan as an example, we present in this paper a method to predict the sandstone reservoir by integration of seismic, logging and geological data. Correlation of wells and seismic data leads to the establishment of a five grade framework of high-resolution sequence stratigraphy. Microfacies are defined according to the study of core, mud logging and petrophysics, and the sand distribution pattern between wells is defined with vertical and spatial 3D seismic inversion data and seismic attributes. Then, microfacies maps are compiled for each formation based on the well data with special concern in the distribution pattern of sand body, and finally a map showing the distribution pattern of sandbodies is made as the tool for reservoir prediction.