Petroleum Geochemistry
Evaluation of petroleum origin and processes controlling fluids behavior
Assess exploration targets and risks and constrain basin-scale processes and models.
Quantitative geochemical and fluid property analyses supported by industry expertise
Through a global network of reservoir laboratories, Schlumberger provides a variety of innovative geochemical and fluid property analyses. Using state-of-the-art analytical equipment supported by leading experts, our geochemical interpretation workflows support a wide range of rock and fluid property measurements tailored to the heterogeneities of conventional and unconventional reservoirs.
All quantitative analyses are conducted with strict QA/QC processes to deliver representative, accurate, and reliable laboratory data at every stage of operations—from proprietary solvent extraction to unique biomarker analysis. Mobile laboratory analysis and core retrieval in remote locations expedite important time-sensitive testing and chain-of-custody sample management.
For samples from which bitumen cannot be recovered or do not produce representative in-reservoir oil, we employ ProxVisc geochemical oil viscosity assessment to estimate viscosity. This proprietary assessment uses molecular geochemistry to predict bitumen viscosity, API gravity, or both from analysis of hydrocarbon concentrations.
By analyzing a standard suite of aromatic and saturated hydrocarbons by gas chromatography mass spectrometry (GC-MS) and correlating against a calibrated viscosity or API gravity dataset, we can assess the level of biodegradation and oil quality for samples for which fluid properties cannot be conventionally determined to develop geochemical proxies for viscosity prediction.
The ProxVisc assessment is integrated with Malcom interactive fluid characterization software. Malcom software processes gas chromatography data from different vendors and performs statistical calculation in one comprehensive tool, delivering fast data interpretation.
Exploration and appraisal
Development and production
Proprietary predictions