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Science Day Volunteers for Seismic Power

We present seismic strength of UL Lafayette to hundreds of high school students today.

TOC estimation of Tuscaloosa Marine Shale (TMS) using multiattribute analysis | First International Meeting for Applied Geoscience & Energy Expanded AbstractsPredicting high Total Organic Carbon (TOC) zones within an unconventional reservoir is very important to determine favorable geological areas for producing oil and gas. In this paper, we use combined analysis of seismic attributes and well logs for estimating probable TOC values among a portion of Tuscaloosa Marine Shale (TMS) formation. The TOC values in the well location have been calculated using Passey’s ΔLogR method which later used for multiattribute seismic analysis over the survey area. Using three seismic attributes, we have found a validation correlation coefficient of 81% while running stepwise regression method. With this accuracy, the predicted TOC volume among the formation has been established.

Application of automatic fault picking on the seismic data from Subei Basin, China by using optimal path voting method | First International Meeting for Applied Geoscience & Energy Expanded AbstractsUsually, a fault attribute which can enhance fault features is needed for detecting these sub-seismic faults. But most seismic attributes can be sensitive to noise and stratigraphic features, which are also apparent as reflection discontinuities within a seismic image. Therefore, in this article, we use methods of optimal surface voting (Wu and Fomel, 2018) that aims at enhancing features of faults and attenuating the influence of noise, stratigraphic characteristics, and other non-fault factors to automatic pick some sub-seismic faults in the study area.

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Our paper “A workflow of separating and imaging diffraction wave by using deep learning network: An application of GPR data” has been ranked top 25 of 764 papers presented in the SEG Annual Meeting 2020. The paper is authored by Dr. Ming Ma and Dr. Rui Zhang. The work presented in the paper is in collaboration and co-authored by Dr. Jonathan Ajo-Franklin from Rice University.
The paper won the Best poster Award !

Congrats on Silas Samuel (most right) present his Thesis work "Total Organic Carbon content estimation of Bakken Formation, Kevin-Sunburst Dome, Montana using Post-Stack Inversion, Passey (DLogR) Method and Multi-Attribute Analysis" at URTEC Conference 2021, who graduated in Spring 2021

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