Technical Content

Integrated mineralogical datasets for geoscience

Building Highly Detailed, Realistic 3D Numerical Models

Data science-based methods, such as supervised neural networks, provide powerful techniques to predict reservoir properties from seismic and well data without the aid of a theoretical model. In these supervised learning approaches, the seismic to rock property relationship is learned from the data. One ...

The Humbly Grove field is a unique example of an onshore UK field with two co-existing revenue streams; seasonal gas storage and enhanced oil recovery. As with other gas storage facilities, Humbly Grove operates under strict safety legislation. The license to operate is dependent ...

An article summarizing CGG's recent Multi-Client seismic acquisition in the West of Shetland. Article covers the exploration history, key petroleum systems, geological challenges for seismic imaging and interpretation and identification of exploration opportunities within the data.

This article is related new pyrolysis method developed by CGG. This new method is called “unconventional pyrolysis method” for bitumen-rich source rock samples from shale oil plays. This novel technique applies a different temperature program to the Rock-Eval pyrolysis 6 equipment, using the multi-heating ...

This article will mainly focus on the fracture/fault analysis of CGG’s multi-client 3D seismic data to highlight the potential flow pathways and contribution of excess formation water in unconventional lateral well development. By using CGG’s InsightEarth (FractureFaultSpark) software, major intra-formational and through-going formational faults ...

New high-quality seismic datasets and regional prospectivity study brings greater understanding of the distribution and extent of resource plays throughout the Banda Arc.

Risto Siliqi, CGG, France, explains how the largest multi-client ocean bottom node survey in the UK Central North Sea will deliver unprecedented seismic data quality to identify remaining reservoir potential.