From classical screens to proprietary methods we developed, run on an in-house Agilent triple-quadrupole and MSD system. Exploration, development and production, source to reservoir.
Biomarker Technologies performs the most delicate analyses in the field, including advanced methods critical for understanding the complete petroleum system for basin modeling. Our work lets clients correlate any hydrocarbon sample, identify deep sources for gas and condensate in mature basins, designate and unravel crude oil mixtures, estimate the liquids component of tight shale before fracking, model oil-charging history, and understand the role of asphaltenes in heavy oil.
Quantitative SARA, hydrous pyrolysis of isolated asphaltenes, and proprietary follow-on analyses of hydrous pyrolysis products.
CSIA by GC-IRMS across alkanes, diamondoids, biomarkers, isoprenoids and aromatic compounds.
Diamondoid quantitation and isotope analysis for maturity, cracking and mixing assessment.
GC, GC-MS and GC-MS-MS for full biomarker characterization, qualitative and quantitative.
Rock-Eval 6, TOC, percent carbonate, and carbon isotopes on kerogen, bitumen, coal and class fractions.
Sample prep, other special analyses, plus workshops, short courses and hands-on training.
Many of these were developed in-house. Several are proprietary to Biomarker Technologies.
Quantitative Diamondoid-Biomarker Analysis Method.
Quantitative Extended Diamondoid Analysis.
Compound Specific Isotope Analysis of the diamondoids.
Compound Specific Isotope Analysis of light hydrocarbons.
Compound Specific Isotope Analysis of biomarkers and alkanes.
Biomarker Acids Analysis.
Sulfur-bearing diamondoid characterization.
Special C30 Sterane Analysis.
Quantitative triaromatic steroids.
Taxon-specific biomarker program.
Controlled maturation for source and product studies.
High-temperature simulated distillation.
We also offer consulting, interpretation, project design, research and development, short courses, training and internships. The goal is the same as the analysis itself: turn precise data into decisions you can stake a program on.