An application of neural-network seismic inversion with multiple attributes to horizontal drilling in NB oilfield

NB oilfield located in Bohai Sea is a heavy field in Neogene fluvial facies,and its reservoir is characterized by instable lateral distribution,thin sandbody,relatively poor connectivity and complicated oil-water relations,resulting in a development plan to drill a large number of horizontal wells.The method of neural-network inversion is selected to establish a nonlinear relationship between seismic attributes and reservoir parameters,by which a data volume of reservoir parameters can be obtained.Then this data volume can be used to extract information for reservoir prediction along its layer slices and to research reservoir distribution.The results have been applied to guide planning of horizontal wells in the oilfield,making the drilling risk reduced.It is the first time to apply the neural-network seismic inversion to reservoir prediction and drilling guidance of horizontal wells in Bohai Sea.