SEG 2017 – Presentation Schedule

BOOTH 2100

We are always honored and grateful to have exceptional geoscientists join us as guest speakers during the SEG Annual Meeting.

This year, we have four guest speakers, and they’re sharing their industry knowledge and experience in a number of case study presentations.

Presenter Biographies

For each presentation, everyone who attends is entered in a draw for a $100 Visa Gift, card and SeisWare will also donate $100 to a Harvey relief charity selected by the draw prize winner.

Click tabs below for the booth schedule for each day.

September 25, 2017

9:15am

Integrated Seismic and Geologic Workflows Applied to a South Texas Unconventional Reservoir

Analyze historical production from vertical and horizontal wells from regional to reservoir scale. Generate velocity models and depth convert seismic and attribute date. Compare and correlate wellbore extractions of seismic attributes with production and completion data. Utilize the findings to design optimal well plans. Move from the well plan through drilling and geosteering to the final completed horizontal well.

10:00am

GUEST PRESENTER: John Frederick, Red Leaf Energy

Seismic Expression of Eolian Sandstone Build-and-Fill Deposition in the Minnelusa Oil Play, Powder River Basin, Wyoming

The complexity of the Permian Minnelusa Eolian depositional environment requires inclusion into the seismic interpretation in order to better understand sand and fluid distribution. The concept of “build-and-fill” deposition is modeled for validation of the interpretation of disparate sand bodies both laterally and vertically. Other seismic attribute analyses including seismic waveform analysis, spectral decomposition, and seismic zone attributes are utilized to support this interpretation concept and reduce drilling risk.

11:00am

GUEST PRESENTER: Dr. James K Applegate, SeismicUtensils LLC

Integrated AVO and Post Stack Analysis of Complex Faulting in the Niobrara Formation to Generate Optimal Well Plans

Determine the best strategy for the development of an unconventional Niabraro reservoir by integrating full and limited azimuth AVO attributes with post stack analysis such as curvature and coherence to locate and predict properties of fractures and the rock matrix. Cross plot well bore seismic extractions to aid in the design of optimal well plans for the reservoir.

 1:30pm

GUEST PRESENTER: Glenn Winters

Best Practices and Tools for Interpretation in the Permian Basin

Glenn Winters, recently retired chief geophysicist of Fasken Oil & Ranch, will share some of his best practice and workflow ideas. Drawing on over 30 years of experience, five of those using SeisWare, he will share his expertise on identifying geohazards, determining carbonate thickness from attribute volumes, creating accurate depth volumes for horizontal well planning, integrating production data into seismic interpretation, and more.

2:45pm

CASE STUDY PRESENTATION: Tom Stander, Trifecta Energy / Doug Paul, SeisWare Inc. (PRESENTER)

Integrated Analysis of a Shallow Gas Paleo Cave Karst Reservoir in the Mississippian Osage Formation

Analyze and model the geologic and seismic responses of a shallow gas paleo cave reservoir to determine porosity distribution within the Mississippian Osage Formation. Apply historically, structural attributes to amplitude distributions to better understand reservoir geometry. Generate volumetrics and analyze potential economic returns.

 3:30pm

GUEST PRESENTER: John Frederick, Red Leaf Energy

Seismic Expression of Eolian Sandstone Build-and-Fill Deposition in the Minnelusa Oil Play, Powder River Basin, Wyoming

The complexity of the Permian Minnelusa Eolian depositional environment requires inclusion into the seismic interpretation in order to better understand sand and fluid distribution. The concept of “build-and-fill” deposition is modeled for validation of the interpretation of disparate sand bodies both laterally and vertically. Other seismic attribute analyses including seismic waveform analysis, spectral decomposition, and seismic zone attributes are utilized to support this interpretation concept and reduce drilling risk.

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