Deterministic and stochastic inversion techniques used to predict porosity: A case study from F3-Block
Date of Award
Open Access Master's Thesis
Master of Science in Geophysics (MS)
Administrative Home Department
Department of Geological and Mining Engineering and Sciences
Wayne D. Pennington
Committee Member 1
Gregory P. Waite
Committee Member 2
Within large-scale sigmoidal bedding of the F3-block in the shallow zone there appear to be some indicators of hydrocarbon deposits. In order to characterize target zone in the sigmoidal bedding, I combine the analysis of inverted results of post-stack seismic data with rock-physics relationships developed from well log data to predict the porosity, which ranges from 20% to 33%, for different system tracts in this area. The methods used in this study include conventional deterministic inversion and novel stochastic inversion. Through a rock physics analysis of the density, velocity and gamma-ray logs in two wells, I constructed relationships between the acoustic impedance and porosity; one is appropriate for the high-stand (more shale-prone) system tract, and one for the low-stand (more sand-prone) system tract. With the help of these two inversion methods and the two impedance-porosity relationships, four high-resolution porosity models have been generated providing insight into potential high-porosity and potential hydrocarbon-bearing zones.
Wu, Hao, "Deterministic and stochastic inversion techniques used to predict porosity: A case study from F3-Block", Open Access Master's Thesis, Michigan Technological University, 2015.