Click here for a short presentation
Advanced LNN-Based Reservoir Property EstimationOur system trains a linear neural network (LNN) to estimate reservoir properties from measured rock properties and derived attributes—such as relative properties and reflectivities. This innovative approach enables analysis at high resolution in depth using well-log data as well as in time using seismic data. The LNN provides parameters that allow direct estimation of reservoir properties from seismic data, ensuring a seamless integration between rock physics and reservoir characterization.In addition, our platform includes an under-development probability analysis module and a sensitivity bar-graph tool. The sensitivity bar-graph visually evaluates the weight of selected attributes in estimating specific reservoir properties, helping to refine and optimize the interpretation process.