What can Geoteric do for you? 

Manual fault interpretation is particularly complex when the fault throw is close to seismic resolution and the lateral and vertical variations require a dense network not just of inlines and crossline but also on arbitrary sections. To potentially identify new exploration targets within such a complex are requires a more thorough and complete understanding of the structural geology

Extending asset life, maximising productivity and reducing unplanned shutdowns remains a top priority for operators. To transform their asset understanding and performance, Aker BP wanted to know if Geoteric’s AI Fault Interpretation could unlock a new level of insight, ensure drilling safety and as a result maximise production revenues.

Seismic response and amplitude can vary at discovery and appraisal locations. To effectively asses possible reserves, it is crucial to understand what causes colour variations and test what amplitude and frequency combinations best discriminate geological features to explain those changes.

Although seismic processing continues to advance, imaging subsalt structures still presents a challenge . With new licence rounds opening in regions such as offshore Brazil, the potential prize for accurately interpreting these structures is a great one.

It is not uncommon for wells to be shut-in or sidetracked due to unforeseen complications.  We wanted to know if our AI Fault Interpretation Service could be used in a “real-life” scenario to reveal geological hazards and ensure drilling safety and as a result, maximise production revenues. 

The Canning Basin has undergone several phases of tectonic deformation, which has led to it becoming a complex structural setting, difficult to understand. It’s crucial to understand the regional structure and implications of such on the hydrocarbon system.

The Main Pass Area is currently under brown field development and production, there is also associated infrastructure-led exploration.  Given these circumstances, the need to extract new insightful information from existing datasets becomes ever more crucial for successful drilling and production campaigns.

A detailed shallow hazard assessment reveals the possible constraints from man-made and geological features, to ensure appropriate mitigation practices are identified and adopted.

Accurate, high-resolution reservoir models are critical to a better understanding of the reservoir heterogeneity for enhanced oil recovery.