On March 15, a presentation on "Interpretation Validation" by Dr. Bruno de Ribet, will be available online as part of the 2016 Virtual Lecture Series.
Better acquisition techniques and improved seismic processing algorithms have led to significantly higher seismic image quality, with a corresponding increased amount of stratigraphic details. This creates a challenge for geoscientists who need to interpret more detailed seismic features from greater quantities of seismic data while facing the same deadlines. One of the ways in which interpreters alleviate this problem is by using mostly automated tracking tools.
However, in a complex structural and stratigraphic environment, geoscientists must spend a lot of time trying to propagate and correlate seismic reflectors. This usually results in obtaining a seismic interpretation that tends to be associated with clear impedance contrasts and some partially interpreted seismic events that are not of sufficient quality to be considered. This is especially critical in areas where the seismic data is noisy, the structure complex, or in specific geologic environments such as subsalt or unconventional plays, where rock types are very heterogeneous and seismic is characterized by low impedance contrasts. In these cases, the seismic stratigraphic information will be lost between the seismic interpretation and geologic modeling stages; and what is more likely, will lead to an inconsistent 3D geologic model. Seismic interpretation and modeling technologies need to honor the complex information embedded in the seismic data.
This presentation will consider an answer to this issue, which requires a multi-domain approach (G&G interpretation and modeling) and the integration of advanced technologies associated with each domain, as past modeling limitations (horizon and pillar-based technologies) made maintaining synchronization between the model and the current interpretation difficult.
We encourage you and your colleagues to register today!
Upcoming sessions in the 2016 Virtual Lecture Series include:
- March 29: Comprehensive Seismic Data Analysis and Interpretation with Prestack Data - Joanne Wang
- April 12: Resolving Data Integration and Modeling Challenges in the Unconventionals - Lorena Guerra