Schlumberger Technology Corporation

Jesus Alberto Canas

Oliver Clinton Mullins

Vinay K Mishra

Youxiang Zuo

Kang Wang

Andrew Emil Pomerantz

Cosan Ayan

Hadrien Dumont

Thomas Pfeiffer

Shu Pan

Yi Chen

Anish Kumar

Vladislav Achourov

Armin Kauerauf

Dariusz Strapoc

Daniel M Tetzlaff

Soraya S Betancourt Pocaterra

Jerimiah Forsythe

Ivan Fornasier

Soraya S Betancourt-Pocaterra

A method includes receiving first fluid property data from a first location in a hydrocarbon reservoir and receiving second fluid property data from a second location in the hydrocarbon reservoir. The method includes performing a plurality of realizations of models of the hydrocarbon reservoir according to a respective plurality of one or more plausible dynamic processes to generate one or more respective modeled fluid properties. The method includes selecting the one or more plausible dynamic processes based at least in part on a relationship between the first fluid property data, the second fluid property data, and the modeled fluid properties obtained from the realizations to identify potential disequilibrium in the hydrocarbon reservoir.

Reservoir fluid geodynamic system and method for reservoir characterization and modeling

Various implementations directed to analyzing a reservoir using fluid analysis are provided. In one implementation, a method may include determining mud gas logging (MGL) data based on drilling mud associated with a wellbore traversing a reservoir of interest. The method may also include determining first downhole fluid analysis (DFA) data based on a first reservoir fluid sample obtained at a first measurement station in the wellbore. The method may further include determining predicted DFA data for the wellbore based on the first DFA data. The method may additionally include determining second DFA data based on a second reservoir fluid sample obtained at a second measurement station in the wellbore. The method may further include analyzing the reservoir based on a comparison of the MGL data and a comparison of the second DFA data to the predicted DFA data.

Analyzing reservoir using fluid analysis

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Katy, TX, United States of America

Jesus Alberto Canas