US 11,808,909 B2
System and method for predicting fluid type and thermal maturity
Yazeed Altowairqi, Dhahran (SA); and Fabian Duque, Dhahran (SA)
Assigned to SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed by SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed on Aug. 20, 2021, as Appl. No. 17/408,160.
Prior Publication US 2023/0054795 A1, Feb. 23, 2023
Int. Cl. G01V 1/50 (2006.01)
CPC G01V 1/50 (2013.01) [G01V 2210/6169 (2013.01); G01V 2210/66 (2013.01)] 18 Claims
OG exemplary drawing
 
1. A method of determining a thermal maturity image of a subterranean region of interest, comprising:
obtaining an observed seismic dataset for the subterranean region of interest;
collecting, using a coring system comprising a coring tool, a plurality of core samples, wherein each core sample among the plurality of core samples is taken from a different core sample position among a plurality of positions within the subterranean region of interest;
determining, using a pyrolysis retort, a thermal maturity value for each core sample of the plurality of core samples, wherein the pyrolysis retort performs a geochemical analysis on a core sample among the plurality of core samples using controlled heating of the core sample in an inert gas to generate a plurality of hydrocarbons;
obtaining, using a well logging tool, a plurality of well log types for each core sample position among the plurality of positions;
determining, by a computer processor, a calibrated rock physics model based, at least in part, on the plurality of well log types;
determining, by the computer processor, a pore fluid type based, at least in part, on the calibrated rock physics model;
determining, by the computer processor, a thermal maturity model based, at least in part, on the thermal maturity value of each core sample, on the pore fluid type, and on the plurality of well log types; and
determining, by the computer processor, the thermal maturity image of the subterranean region of interest based, at least in part, on the observed seismic dataset and on the thermal maturity model.