US 12,435,613 B2
Quantitative distance-based light hydrocarbon measurements correlations and graph theory for determining reservoir complexity
Mustafa Ali H. Al Ibrahim, Safwa (SA); Mariam Assadeq, Dhahran (SA); and Bandar Ismail Ghassal, Dhahran (SA)
Assigned to SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed by SAUDI ARABIAN OIL COMPANY, Dhahran (SA)
Filed on Aug. 30, 2023, as Appl. No. 18/458,596.
Prior Publication US 2025/0075607 A1, Mar. 6, 2025
Int. Cl. E21B 44/00 (2006.01); E21B 41/00 (2006.01); E21B 49/08 (2006.01); G01N 33/24 (2006.01); G06T 11/20 (2006.01); E21B 7/04 (2006.01)
CPC E21B 44/00 (2013.01) [E21B 41/00 (2013.01); E21B 49/08 (2013.01); G01N 33/241 (2013.01); G06T 11/206 (2013.01); E21B 7/04 (2013.01); E21B 2200/20 (2020.05)] 20 Claims
OG exemplary drawing
 
1. A method, comprising:
obtaining a plurality of physical samples from one or more wells, wherein each sample is associated with spatial-temporal data;
determining geochemical data for each sample in the plurality of physical samples;
constructing a graph representation of the plurality of physical samples, wherein in the graph representation each sample is represented as a node and a presence of an edge between any two nodes is based on the spatial-temporal data of the plurality of physical samples;
determining a weight for every edge in the graph representation;
processing the graph representation with a graph-based algorithm to determine one or more clusters, wherein each of the one or more clusters includes at least one sample from the plurality of physical samples; and
determining a wellbore plan that comprises a planned wellbore path to penetrate a hydrocarbon reservoir based on the determined clusters.