This is a Hybrid Event
15375 Memorial Dr.
Houston, TX 77079
Meeting Time: 11:30 to 1:00
Registration Begins at 11:30
Lunch Served at 11:30
Presentation starts at Noon
NOTE: You Must Be Logged In to Register.
Speaker: Jorge Fernandez, Senior Geoscientist, Ikon Science
Many active basins are characterized by complex depositional processes with varying degrees of facies that may contain multiple benches of stacked pays. Depending on the location within the basin, some of these facies can be drilling hazards while others can act as a primary source for hydrocarbon generation. Therefore, understanding the spatial distribution of such facies using seismic data is an important factor as it not only validates the geological model, but improves drilling strategy by targeting the right facies for fracture stimulation.
In this talk, we show how we can extract significant geological insights from seismic data within an onshore basin. Using a multi-disciplinary integrated workflow, we incorporate the Vernik-Kachanov rock physics model (RPM) and show that by accounting for mineralogy, porosity, fluids, pore shape and effective stress, the model can be successfully used for predicting P- and S- wave velocity as a function of total organic content (TOC). The RPMs are further used for correcting P-wave velocities for TOC removal to avoid errors (overestimation) in pore pressure predictions. This ultimately leads to proper stress estimation (Shmin and SHmax), which if unaccounted for, can lead to potential drilling hazards or erroneous frac design due to poorly defined horizontal stress magnitudes. A Bayesian approach is utilized to define the elastic facies within the study intervals and incorporates a Joint impedance and Facies inversion (Ji-Fi) technique to extract the facies from seismic data. These elastic facies are then tied to various property maps (total porosity, volume of clay, pore pressure) for sweet spot analysis.
Speaker Biography: Jorge Fernandez, Ikon Science
Jorge holds a BSc in Geophysical Engineering from Universidad Simon Bolivar in Venezuela, and an MSc in Geophysics from the Colorado School of Mines in Golden, CO, USA. There he was part of the Reservoir Characterization Project (RCP) consortium, working on seismic inversion applied to reservoir characterization and geomechanical modeling of the Vaca Muerta unconventional shale in Argentina.
He joined Ikon in 2017, moving into a Senior role over the years. He has worked in all aspects of software support, testing, documentation, training, and technical pre-sales for Ikon’s flagship platform, RokDoc.
Jorge has done consulting with clients of various energy companies in North and South America, in rock physics, reservoir characterization, seismic inversion, pore pressure prediction, and geomechanics projects in the deepwater Gulf of Mexico, Western Canada, Williston, Appalachian, DJ, Permian, Middle Magdalena, and Magallanes basins.
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