Application of Seismic Inversion to Build a Geological Static Model of X-Field Reservoir, Malaysia

The common problem that encounters by oil and gas companies is a high production of water cut due to ambiguity in litho-fluid separation, resulting in high uncertainties of the static model. In this paper, litho-fluid is first classified by elastic properties parameters such as VpVs, Poisson Ratio, P-impedance, SQp and SQs through cross-plot analysis. Application of new attributes, SQp, and SQs, which derived from seismic attenuation, rock physic approximation, is examined to discriminate lithology and pore fluid. Pre-stack seismic inversion is executed to get I-p, I-s, and density and used to create ۳D Model Facies through SQp and SQs function. Facies and petrophysical parameters are then upscaled into the geocellular grid associated with the inversion result for simulating the static model. Geostatistical concept through experimental variogram is applied for the simulation to interpolate the unknown part throughout the reservoir. The traditional method and inversion input of new attribute are compared based on static model results. The static models built are specified on Vsand, Vshale, porosity and water saturation to understand the behavior of reservoir study, thus the estimation of high water cut production can be estimated.

Keywords:

Seismic Inversion , Static Model , Seismic Attribute , SQp , SQs