IP Library › Granted Patent US 12,421,844
Granted Patent B2
US 12,421,844 · App. 17/936,728 · Granted Sep 23, 2025

Method to assess reservoir continuity between single wells in an oilfield formation within a region with several petroleum reservoirs

Inventors: Peter Birkle (Dhahran, SA); Maram Saif (Dhahran, SA)
Assignee: SAUDI ARABIAN OIL COMPANY
E21B47/10E21B49/0875G01N33/18
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Quick Facts
Patent No.
US 12,421,844
App. No.
17/936,728
Granted
Sep 23, 2025
Kind
B2
Abstract

A method to assess reservoir continuity between single wells in an oilfield formation within a region with several petroleum reservoirs, including the steps: collecting water samples from each of the single wells, obtaining the geochemical composition of each of the water samples, obtaining a dataset from the geochemical compositions of the single wells, analyzing the dataset using principal component analysis to obtain principal components of the dataset, clustering the principal components to obtain clusters, identifying hydrodynamic groups from the clusters, assigning the wells to hydrodynamic groups, wherein wells within one single hydrodynamic group are considered to be hydraulically communicated.

Claims (22)

1. A method comprising:

collecting a plurality of water samples from a plurality of wells in a reservoir region,

obtaining, using a geochemical analysis with the plurality of water samples, a geochemical dataset describing a plurality of geochemical compositions of the plurality of wells,

determining, by a computer processor, a plurality of principal components based on the plurality of geochemical compositions and a principal component analysis,

wherein the plurality of principal components represent at least some of the geochemical dataset including a plurality of geochemical ratios comprising a calcium-to-magnesium ratio (Ca/Mg), a strontium-to-calcium ratio (Sr/Ca), and a sodium-to-chloride ratio (Na/Cl), representing the geochemical dataset using the plurality of principal components to obtain a reduced geochemical dataset,

clustering, by the computer processor and using a k-means clustering algorithm, the reduced geochemical dataset to obtain a plurality of clusters,

identifying, by the computer processor, a plurality of hydrodynamic groups within the reservoir region from the plurality of clusters,

wherein the plurality of wells are assigned to a respective hydrodynamic group among the plurality of hydrodynamic groups based on the plurality of principal components,

determining, by the computer processor, a plurality of hydrocarbon production potentials for the plurality of hydrodynamic groups using the plurality of clusters and a plurality of tectonic structures in the reservoir region,

determining, by the computer processor, a location of an exploratory well within the reservoir region based on at least one hydrocarbon production potential among the plurality of hydrocarbon production potentials, and

performing a drilling operation at the location of the exploratory well.

2. The method of claim 1 , further comprising:

coupling the plurality of hydrodynamic groups with pressure, volume, and temperature (PVT) testing data of the plurality of wells, wherein positively tested single wells in a hydrodynamic group among the plurality of hydrodynamic groups are considered to be hydraulically communicated, and negative PVT single wells in the plurality of hydrodynamic groups are considered to be hydraulically compartmentalized.

3. The method of claim 1 , further comprising:

coupling the plurality of hydrodynamic groups with a plurality of structural features of an oil-field formation, wherein two hydrodynamic groups among the plurality of hydrodynamic groups without a structural feature between them are considered to be hydraulically communicated, and a portion of the plurality of hydrodynamic groups with a structural feature between them are considered to be hydraulically compartmentalized.

4. The method of claim 3 , wherein the plurality of structural features comprise faults, fractures, and dikes.

5. The method of claim 1 , wherein the geochemical dataset comprises a pH parameter and a density parameter.

6. The method of claim 1 , wherein the geochemical dataset comprises water hydrochemistry data, wherein the water hydrochemistry data describes total dissolved salinity (TDS).

7. The method of claim 1 , wherein the plurality of water samples are filtered by applying filtering criteria to detect potential contamination of a water sample among the plurality of water samples and to select a representative water sample from each well among the plurality of wells.

8. The method of claim 7 , wherein the filtering criteria is based on elevated concentrations of potassium to detect the potential contamination of the water sample.

9. The method of claim 1 , wherein the reservoir region is a gas or an oil reservoir.

10. The method of claim 1 , wherein the plurality of principal components are weighted before the plurality of principal components are clustered.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Jul 20, 2023
From: BIRKLE, PETER; SAIF, MARAM
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 064325/0896 →
Continuity (1)
Related Publication 20240117730A1 · Apr 11, 2024
References Cited (37)
US 4269271A · Shupe · 1981 [cited by examiner]
US 7584086B2 · Frankel · 2009 [cited by applicant]
US 8437997B2 · Meurer et al. · 2013 [cited by applicant]
US 8776895B2 · Li et al. · 2014 [cited by applicant]
US 9316761B2 · Edwards et al. · 2016 [cited by applicant]
US 9416656B2 · Pomerantz et al. · 2016 [cited by applicant]
US 10620107B2 · Weiss et al. · 2020 [cited by applicant]
US 10746017B2 · Zuo et al. · 2020 [cited by applicant]
US 11021948B2 · Aslanian et al. · 2021 [cited by applicant]
US 20100204511A1 · Horton · 2010 [cited by examiner]
US 20190316166A1 · Summers · 2019 [cited by examiner]
RU 2754741C1 · 2021 [cited by applicant]
James, Gareth et al, “An Introduction to Statistical Learning: with Applications in R,” Springer Science & Business Media, published 2013, pp. 26-28, 375-377, 385-386, 398 (Year: 2013). [cited by examiner]
“Geochemistry and depositional environment of the Mesoproterozoic Xiamaling shales, northern North China”, Jin Wu et al., Journal of Petroleum Science and Engineering, vol. 215, Part B, Aug. 2022 (Year: 2022). [cited by examiner]
R. Al-Obaid et al.; “Inter-reservoir Communication Detection via Pressure Transient Analysis: Integrated Approach”, SPE-87039; Society of Petroleum Engineers; Mar. 2004; pp. 1-6 (6 pages). [cited by applicant]
L. Belkhiri et al.; “Statistical categorization geochemical modeling of groundwater in Ain Azel plain (Algeria)”, Journal of African Earth Sciences; vol. 59; Oct. 29, 2010; pp. 140-148 (9 pages). [cited by applicant]
B. K. Chaudhary et al.; “Spatial variability of produced-water quality and alternative-source water analysis applied to the Permian Basin, USA”, Hydrogeology Journal; vol. 27; Nov. 19, 2019; pp. 1-17 (17 pages). [cited by applicant]
V. Cloutier et al.; “Multivariate statistical analysis of geochemical data as indicative of the hydrogeochemical evolution of groundwater in a sedimentary rock aquifer system”, Journal of Hydrology; vol. 353; Issues 3-4… [cited by applicant]
M. A. Engle et al.; “Geochemistry of formation waters from the Wolfcamp and ‘Cline’ shales: Insights into brine origin, reservoir connectivity, and fluid flow in the Permian Basin, USA”, Chemical Geology; vol. 425; Jan.… [cited by applicant]
I. M. Farnham et al.; “Deciphering Groundwater Flow Systems in Oasis Valley, Nevada, Using Trace Element Chemistry, Multivariate Statistics, and Geographical Information System”, Mathematical Geology; vol. 32; No. 8; 20… [cited by applicant]
K. Ghorayeb and A. Firoozabadi; “Molecular, Pressure, and Thermal Diffusion in Nonideal Multicomponent Mixtures”, Fluid Mechanics and Transport Phenomena; AIChE Journal; vol. 46; Issue 5; May 2000; pp. 883-891 (9 pages). [cited by applicant]
C. Güler et al.; “Evaluation of graphical and multivariate statistical methods for classification of water chemistry data”, Hydrogeology Journal; vol. 10; May 9, 2002; pp. 455-474 (20 pages). [cited by applicant]
H. Iwamori et al.; “Classification of geochemical data based on multivariate statistical analyses: Complementary roles of cluster, principal component, and independent component analyses”, Geochemistry, Geophyics, Geosy… [cited by applicant]
H. F. Kaiser; “The Varimax Criterion For Analytic Roation in Factor Analysis”, Psychometrika; vol. 23; No. 3; Sep. 1958; pp. 187-200 (14 pages). [cited by applicant]
C. Liu et al.; “Application of factor analysis in the assessment of groundwater quality in a blackfoot disease area in Taiwan”, The Science of the Total Enviroment; vol. 313; Issues 1-3; Sep. 1, 2003; pp. 77-89 (13 page… [cited by applicant]
F. Liu et al.; “Geochemical characterization of shallow groundwater using multivariate statistical analysis and geochemical modeling in an irrigated region along the upper Yellow River, Northwestern China”, Journal of G… [cited by applicant]
J. L. Mari and F. Delay; “Contribution of Seismic and Acoustic Methods to Reservoir Model Building”, in Hydraulic Conductivity—Issues, Determination and Applications; IntechOpen; Ch. 17; Nov. 23, 2011; pp. 329-354 (26 p… [cited by applicant]
A. Mukanov and A. Aldazhar; “The Role of Pressure Observation and Pressure Transient Analysis in Changing the Geological Concept of Mature Oil Field”, SPE-198333-MS; Society of Petroleum Engineers; Oct. 2019; pp. 1-6 (6… [cited by applicant]
C. U. Ohaeri et al.; “Evaluation of Reservoir Connectivity and Hydrocarbon Resource Size in a Deep Water Gas Field Using Multi-Well Interference Tests”, SPE-170829-MS; Society of Petroleum Engineers; Oct. 2014; pp. 1-13… [cited by applicant]
K.E. Peters et al.; “Geochemical Screening”, in: The Biomarker Guide vol. 1; Ch. 4; Jan. 2010; pp. 72-118 (46 pages). [cited by applicant]
L. Ribeiro and M. E. Macedo; “Application of multivariate statistics, trend- and cluster analysis to groundwater quality in the Tejo and Sado Aquifer”, Groundwater Quality: Remediation and Protections (Proceedings of th… [cited by applicant]
P.P. Schot and J. van der Wal; “Human impact on regional groundwater composition through intervention in natural low patterns and changes in land use”, Journal of Hydrology; vol. 134; Issues 1-4; Jun. 1992; pp. 297-313 … [cited by applicant]
J. L. Shelton et al.; “Machine Learning Can Assign Geologic Basin to Produced Water Samples Using Major lon Geochemistry”, Natural Resources Research; vol. 30; No. 6; Dec. 2021; pp. 4147-4163 (17 pages). [cited by applicant]
P. C. Smalley et al.; “Spatial 87Sr/86Sr variations in formation water and calcite from the Ekofisk chalk oil field: Implications for reservoir connectivity and fluid composition”, Applied Geochemistry; vol. 7; Issue 4;… [cited by applicant]
R. K. Steinhorst and R. E. Williams; “Discrimination of Groundwater Sources Using Cluster Analysis, MANOVA, Canonical Analysis and Discriminant Analysis”, Water Resources Research; vol. 21; No. 8; Aug. 1985; pp. 1149-11… [cited by applicant]
P. Vrolijk et al.; “Reservoir Connectivity Analysis—Defining Reservoir Connections and Plumbing”, SPE-93577-PP; Society of Petroleum Engineers; Mar. 2005; pp. 1-23 (23 pages). [cited by applicant]
H. Tian et al.; “New insights into the volume and pressure changes during the thermal cracking of oil to gas in reservoirs: Implications for the in-situ accumulation of gas cracked form oils”, AAPG Bulletin; vol. 92; No… [cited by applicant]