By Bruno de Ribet
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 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 considers 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.