Shallow Geohazard Assessment - Characterization | Schlumberger

Shallow Geohazard Assessment

Predrill shallow geohazard delineation

Seafloor Geohazards
Fault scarps, gas vents, unstable slopes, and reefs
Shallow Subsurface Geohazards
Faults, gas-charged sediments, buried channels, and abnormal pressure zones
Synthetic Geohazards
Pipelines, wellheads, shipwrecks, and debris from oil and gas operations

Mitigate drilling risk and improve field planning

Equipment damage, NPT, sediment failures, lost circulation, and blowouts: all of these can be caused by shallow geohazards. Our shallow hazard assessment delineates seafloor, shallow subsurface, and synthetic geohazards during the predrill stage. This enables you to make better, safer drilling decisions that influence well placement and trajectory and select optimal locations for mission-critical field infrastructure.

Precisely assess shallow geohazards

Our comprehensive workflow includes fit-for-purpose, high-resolution seismic reprocessing that preserves high frequencies and optimizes imaging. This increases the spatial accuracy of the image, enabling precision assessment of hazards at the seafloor and just below the subsurface.

Move the slider to see how shallow geohazard assessment preserved the high frequencies, providing a more detailed image.

Seismic section before reprocessing for geohazard analysis. Seismic section after reprocessing for geohazard analysis.

We meet all US Minerals Management Service (MMS) requirements for delineating geologic and synthetic shallow hazard features.

Illuminate shallow geohazards with 3D seismic data

We use a range of data analyses techniques, including stratigraphic evaluation, attribute analysis, and prestack seismic inversion to delineate geohazards. High-resolution pore pressure volumes can also be produced to complement the 3D structural imaging and quantify geohazards.

Typical sea floor attribute analysis that can be done on all seismic datasets.
Typical seafloor attribute analysis that can be done on all seismic datasets. Using different attributes, we can visualize, identify, and highlight potentially hazardous geologic structures.

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