Foreeast And Evaluation Of Reservoir In Jin136 Area

With the increasing of exploration degree and the continuous extension of the exploration area, continental hydrocarbon exploration has entered a new stage both on the exploration of lithologic reservoirs and the exploration of the structural reservoir of China. Finding low abundance of the structural reservoir, expanding the reserves exploitation of maturing field and lithologic reservoirs is the main target to explore.This paper mainly applied the methods of logging, drilling, VSP(vertical seismic profile), seismic data, multipurpose utilizing geophysical prospecting and mine geology, through construction, sedimentation and reservoir analysis, which completed the reservoir prediction and evaluation of Jin 136 well area. Making full use of zero partial and nonzero partial treatment results of the advantage of VSP method, and also calibrating seismic reflection horizons Xinglongtai reservoir and the oil floor of Yulou reservoir to making a time depth conversion model reliable, to explain the borehole-side structure meticulously, which improve the accuracy of 3D seismic precision description. In drilling material constraints, referencing production dynamic information to bring about fine structure interpreting, and more processing wave impedance inversion, and the achievement of inversion have a good directive function for correlation of sand body and advantageous of reservoir prediction.This paper shows that Yulou reservoir and Xinglongtai reservoir are craven faulted oilfields in Jin 136 well area, as faults are well developed. With the seismic and drilling putting into practice, this area developed every size faults more than 10 totally in Yulou reservoir and Xinglongtai reservoir. Researching on distribution character of sedimentary facies on main objective interval in Jin 136 well area through the analysis of sedimentary facies, which finding S1下of XingⅠoil reservoir group, S1中of YuⅡoil reservoir group and S1中of YuⅠoil reservoir group all are fan-delta front intrafacied in shallow-half profundal zone. Finally using wave impedance inversion technology to forecast sand bodies distribution, which provide reliable basis for evaluationoftrap and well placement.