IP Library › Granted Patent US 12,655,731
Granted Patent B2
US 12,655,731 · App. 18/451,763 · Granted Jun 16, 2026

Smart pressure driven automated fluid injection management system and method

Inventors: Jibran Ayub (Dhahran, SA); Shahid Manzoor (Dhahran, SA)
Assignee: SAUDI ARABIAN OIL COMPANY
E21B43/166E21B43/164E21B47/06
View Patent ↗
Loading inventors, assignments & file history…
Monitor This Case
Get email alerts when status or documents change.
Order Certified Copies
Most orders are placed with the USPTO same day — all within 24 business hours.
Order via The Patent Place →
Pre-filled with this patent's details
Quick Facts
Patent No.
US 12,655,731
App. No.
18/451,763
Granted
Jun 16, 2026
Kind
B2
Abstract

A method for allocating optimum fluid volume among a set of injectors of a hydrocarbon reservoir includes, for each of multiple depletion stages of the reservoir, determining reservoir pressure at a first region, corresponding to a first injector, in relation to average field reservoir pressure, determining reservoir pressure at a second region, corresponding to a second injector, in relation to average field reservoir pressure, and injecting fluid through the first and second injectors independently and as a function of the determined reservoir pressures at the first and second regions respectively.

Claims (90)

1 . A method for allocating optimum fluid volume among a set of injectors of a hydrocarbon reservoir, the method comprising:

for each of multiple depletion stages of the hydrocarbon reservoir:

determining reservoir pressure at a first region, corresponding to a first injector, in relation to average field reservoir pressure,

determining reservoir pressure at a second region, corresponding to a second injector, in relation to the average field reservoir pressure, and

injecting fluid through the first injector and the second injector independently and as a function of the reservoir pressure at the first region and the reservoir pressure at the second region respectively.

2 . The method of claim 1 , wherein the injecting is further a function of quality and heterogeneity of reservoir formation.

3 . The method of claim 1 , wherein the injecting is further a function of location and potential of the first injector and the second injector.

4 . The method of claim 1 , wherein the injecting is further a function of regional reservoir depletion status.

5 . The method of claim 1 , wherein the injecting is performed in accordance with a factor f governed by equation:

f

=

A

×

e

B

×

(

Pres

Pswp

)

C

where

f: is the factor proportional to allocated gas or water injection,

A: is a first pressure balance coefficient,

B: is a second pressure balance coefficient,

C: is a third pressure balance coefficient,

Pres: is the average field reservoir pressure, and

Pswp: is a static injector well pressure.

6 . The method of claim 1 , wherein the fluid is water.

7 . The method of claim 1 , wherein the fluid is brine.

8 . The method of claim 1 , wherein the fluid is gas.

9 . The method of claim 1 , wherein the fluid is carbon dioxide.

10 . The method of claim 1 , wherein the fluid is nitrogen.

11 . A hydrocarbon reservoir pressure management system comprising:

a plurality of injectors, each injector associated with at least one region of a field of a hydrocarbon reservoir;

a pressure injection controller configured to receive as inputs physical data and measurement data in connection with the hydrocarbon reservoir; and

a balancer operable to, at successive reservoir depletion stages:

determine from the physical data and the measurement data, reservoir pressures at first and second regions in relation to average field reservoir pressure, and

independently drive injection volumes of first and second injectors, respectively corresponding to the first and second regions, based on the reservoir pressures.

12 . The hydrocarbon reservoir pressure management system of claim 11 , wherein the physical data and the measurement data includes quality and heterogeneity of reservoir formation.

13 . The hydrocarbon reservoir pressure management system of claim 11 , wherein the physical data and the measurement data includes location and potential of the first and second injectors.

14 . The hydrocarbon reservoir pressure management system of claim 11 , wherein the physical data and the measurement data includes regional reservoir depletion status.

15 . The hydrocarbon reservoir pressure management system of claim 11 , wherein the balancer drives the injection volumes of the first and second injectors in accordance with a factor f governed by equation:

f

=

A

×

e

B

×

(

Pres

Pswp

)

C

where

f: is the factor proportional to allocated gas or water injection,

A: is a first pressure balance coefficient,

B: is a second pressure balance coefficient,

C: is a third pressure balance coefficient,

Pres: is the average field reservoir pressure, and

Pswp: is a static injector well pressure.

16 . A non-transitory machine-readable storage medium having stored thereon a computer program for allocating optimum fluid volume among a set of injectors of a hydrocarbon reservoir, the computer program comprising a routine of set instructions for causing a machine to perform steps of:

for each of multiple depletion stages of the hydrocarbon reservoir:

determining reservoir pressure at a first region, corresponding to a first injector, in relation to average field reservoir pressure,

determining reservoir pressure at a second region, corresponding to a second injector, in relation to the average field reservoir pressure, and

injecting fluid through the first injector and the second injector independently and as a function of the reservoir pressure at the first region and the second region respectively.

17 . The non-transitory machine-readable storage medium of claim 16 , wherein the injecting is further a function of quality and heterogeneity of reservoir formation.

18 . The non-transitory machine-readable storage medium of claim 16 , wherein the injecting is further a function of location and potential of the first injector and the second injector.

19 . The non-transitory machine-readable storage medium of claim 16 , wherein the injecting is further a function of regional reservoir depletion status.

20 . The non-transitory machine-readable storage medium of claim 16 , wherein the injecting is performed in accordance with a factor f governed by equation:

f

=

A

×

e

B

×

(

Pres

Pswp

)

C

where

f: is the factor proportional to allocated gas or water injection,

A: is a first pressure balance coefficient,

B: is a second pressure balance coefficient,

C: is a third pressure balance coefficient,

Pres: is the average field reservoir pressure, and

Pswp: is a static injector well pressure.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Apr 5, 2024
From: AYUB, JIBRAN; MANZOOR, SHAHID
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 067020/0486 →
Continuity (1)
Related Publication 20250059862A1 · Feb 20, 2025
References Cited (15)
US 4042029A · Offeringa · 1977 [cited by examiner]
US 8271247B2 · Davidson · 2012 [cited by applicant]
US 10364655B2 · Patel et al. · 2019 [cited by applicant]
US 10883339B2 · Shaker et al. · 2021 [cited by applicant]
US 11111784B2 · Willberg et al. · 2021 [cited by applicant]
US 20120003043A1 · Cawley · 2012 [cited by examiner]
US 20120205127A1 · Gittins · 2012 [cited by examiner]
US 20200003027A1 · Shaker · 2020 [cited by examiner]
US 20210372246A1 · Thakur et al. · 2021 [cited by applicant]
CN 112101710A · 2020 [cited by applicant]
Sun, K., and M. R. Konopczynski. “Prediction of Injection-Fluid Distributions for Multiple Zones-Intelligent Injection System.” Paper presented at the SPE Annual Technical Conference and Exhibition, San Antonio, Texas, … [cited by examiner]
Todd, M. R., Claridge, E. L., Rodriguez, R. A., and M. Prats. “Numerical Simulation Study of Gas Injection in the Lower Lagunillas Reservoir, Block III/IV, Lake Maracaibo.” SPE Advanced Technology Series 2 (1994): 169-1… [cited by examiner]
Agudelo, O. C., Acosta, T. J., Tellez-Mejia, C. E., Gonzalez-Bello, P.. , Navas, E. E., Duran, J. P., and J .. Porlles. “Casabe: Water Injection Optimization and Surveillance in a Mature Field.” Paper presented at the S… [cited by applicant]
Chan, Keng Seng, Kifli, Azmukiff Muhammed, and Nasir B. Darman. “Breaking Oil Recovery Limit in Malaysian Thin Oil Rim Reservoirs: Water Injection Optimization.” Paper presented at the International Petroleum Technology… [cited by applicant]
Raslan, Mohammed S., and Ahmad J. Sultan. “Water Injection Optimization Using Streamlines from a Finite-Difference Simulator: A Case Study of a Middle East Field.” Paper presented at the SPE Saudi Arabia Section Technic… [cited by applicant]