Rock Physics Based Facies Classifier: Unlocking Potentials through Probabilities

The ability to reliably fluid discrimination between oil, gas, and brine remains a challenge within

Quantitative Interpretation (QI) discipline. Rock Physics offers a way out in reducing these risks by aiding users to estimate the responses seen in seismic. Quantifying the uncertainties within QI methods must be established as well to support in decision making. We have come up with an alternative QI approach that can accurately classify the fluid responses. It is simple yet robust, time efficient, quantifies fluid probabilities, and takes into account of the rock physics information within the wells. The effectiveness of this technique, has been tested on one of the fields in the Malay basin influenced by a complex clastic channelized system using both well data and seismic data. The results showed that upon using a total of 127 development wells to observe the prediction accuracy, approximately 80% match was observed between the predicted and actual data. Hence, this technique has the potential to discriminate potential hydrocarbon regions within the field and nearby therefore unlocking an opportunity for infill well program and near field exploration. More studies must be carried out to assert the robustness of the technique and improve the prediction accuracy.