Abstract
This study investigates the geochemistry of reservoirs in a mature oil and gas province, focusing on the use of oil and water fingerprinting for fluid source identification, production allocation, and reservoir characterization. The research aims to optimize field development strategies through advanced data processing methods. Over 100 oil samples from different fields were analyzed to determine the chemical composition of oil and its fractions. Gas chromatography and high-resolution mass spectrometry were used to identify various compounds. Advanced clustering methods allowed for effective interpretation of the results.
We found significant variations in hydrocarbon composition across formations within the same oil and gas province, providing insights into oil age, migration patterns, and reservoir heterogeneity. The integration of geochemical data into field operations has improved reservoir characterization accuracy and production efficiency, particularly in mature fields where traditional methods such as production logging (PLT) tools have proven less effective.
Additionally, the findings emphasize that no universal biomarkers exist; each oil field, even neighboring ones, has a unique set of fingerprints. This prompted the development of a chromatogram processing algorithm that clusters data for any oil field, further advancing geochemistry methods in the industry. This work introduces novel oil and water fingerprinting techniques, offering significant advancements in geochemical reservoir assessment and providing valuable tools for improving field development and management practices in hydrocarbon basins.
