4.7 Article

Geochemistry of oils and condensates from the lower Eagle Ford formation, south Texas. Part 1: Crude assay measurements and SimDist modeling

Journal

MARINE AND PETROLEUM GEOLOGY
Volume 139, Issue -, Pages -

Publisher

ELSEVIER SCI LTD
DOI: 10.1016/j.marpetgeo.2022.105576

Keywords

Crude oil; Condensate; Petroleum geochemistry; Thermal maturity; Eagle Ford; Unconventional resources

Funding

  1. University of Texas at Austin [UTA16-000509/EM10480]
  2. ExxonMobil Research and Engineering Company [UTA16-000509/EM10480]
  3. ExxonMobil Technology Scouting Venturing

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This study characterized oils produced from unconventional reservoirs in lower Eagle Ford Shale and identified various properties and correlations. By constructing a model using basic crude assay parameters, it was possible to accurately predict boiling point curves, providing refiners with the opportunity to identify wells producing specific grades of crude.
Fifty-five oils and condensates produced from unconventional reservoirs in lower Eagle Ford Shale were characterized. Most of the samples are from the play area east of the Maverick Basin and west of the San Marcos Arch, while five samples are from wells east of the Arch. Crude assay measurements (API gravity, wt% sulfur, wt% nitrogen, viscosity at 25 and 40 degrees C, pour point, simulated distillation [SimDist] and C15+ chemical group-type fractionation) were conducted on dead oil samples using standard methods. All bulk properties were found to correlate well with each other. Relationships between crude assay measurement and production depth suggest that thermal maturation accounts for most of the variance in composition; however, different depth trends are observed in oils from the Karnes Trough area compared to locations west of that region. Refinery valuation and process models rely heavily on the fractional composition of crude feedstock defined by boiling point distribution. We constructed a model using seven crude assay parameters (API gravity, % S, % N, viscosity at 40 degrees C, and % C15+ saturates, % C15+ aromatics and % C15+ resins) as inputs for predicting SimDist boiling point curves. Using optimized parameters derived from this model, we found that SimDist curves can be modeled with nearly the same degree of accuracy using only API gravity and %S because of their strong correlation with the other bulk properties. This offers the prospect for refiners to identify wells producing specific grades of crude across the entire lower Eagle Ford play. The ability to construct a SimDist predictive model based only on the most basic assay measurements suggest that the compositional variations are due mostly to thermal maturity and the heterogeneity in source facies is insignificant in the lower Eagle Ford west of the San Marcos Arch. The SimDist predictive model is specific to the Eagle Ford shale oils and condensates, but the methodology could be used to construct formation specific models in other unconventional plays.

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