IP Library › Granted Patent US 12,584,381
Granted Patent B2
US 12,584,381 · App. 17/697,163 · Granted Mar 24, 2026

Hydrocarbon gas production system

Inventors: Hassan Almarhoon (Al Qatif, SA); Senan Bo Khamseen (Dhahran, SA)
Assignee: Saudi Arabian Oil Company
E21B43/00E21B41/00G06F30/27E21B2200/20
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 12,584,381
App. No.
17/697,163
Granted
Mar 24, 2026
Kind
B2
Abstract

Provided is hydrocarbon reservoir production system and method that employs a production monitoring system including a well production monitoring system to obtain well production data and gas characteristics of hydrocarbons produced by wells associated with a production region of the reservoir. The production monitoring system adapted to receive selection of modeling parameters, including a selected region and time period, and to generate a set of well performance data including a production data and gas production data for the selected region and time period. A production modeling system adapted to generate, based on the set of well performance data, a model of the performance of the selected region. A production operations system adapted to regulate, based on simulation of the model, operation of wells in the selected region.

Claims (78)

1 . A hydrocarbon reservoir production system comprising:

a production monitoring system comprising:

a well production monitoring system configured to obtain well production data for wells in a hydrocarbon reservoir, the well production data comprising measured hydrocarbon production of the wells in a first production region and wells in a second production region; and

a gas production monitoring system comprising gas production sensors configured to sense gas characteristics of hydrocarbons produced by the wells, each of the gas production sensors configured to sense a characteristic of gas produced by one or more of the wells and being associated with a first production region or a second production region, the gas production monitoring system configured to generate gas production data comprising measurements of gas characteristics sensed by the gas production sensors, each of the measurements being associated with a production region of the gas production sensor and a time of measurement, wherein the gas production sensors comprise carbon dioxide (CO 2 ) content type sensors, hydrogen sulfide (H 2 S) content type sensors, and total dissolved gas content type sensors,

the gas production monitoring system configured to:

receive, by way of a user interface, user selection of modeling parameters comprising a selected region and a selected time period; and

generate, in response to receiving the selection of the modeling parameters, a set of well performance data comprising:

well production data comprising a subset of the production data for a subset of the wells (i) in the selected region and (ii) measured in the selected time period; and

gas production data comprising gas characteristics sensed by gas production sensors (i) associated with the selected region and (ii) measured in the selected time period;

a production modeling system configured to generate, based on the set of well performance data, a model of the performance of the subset of the wells located in the selected region and identify a first well having the greatest amount of sales gas contributions to production of the hydrocarbon reservoir production system and a second well having the least amount of sales gas contributions to production of the hydrocarbon reservoir production system;

a production operations system configured to regulate, based on simulation of the model, operation of one or more of the wells in the selected region, wherein regulating operation of one or more of the wells located in the selected region comprises:

determining, based on application of predicted well production data for the subset of the wells located in the selected region to the validated model, sets of predicted sales gas characteristics for the subset of the wells located in the selected region;

assessing the predicted sales gas characteristics to determine a select one of the sets of predicted sales gas characteristics that satisfies a sales gas criteria;

determining, based on determined select one of the sets of predicted sales gas characteristics, target production flowrates for the wells in the selected region and

operating the wells in the selected region in accordance with the target production flowrates by controlling valves associated with the wells.

2 . The system of claim 1 , wherein the well production monitoring system comprises production flowrate sensors and the measured hydrocarbon production of the wells comprises measurements of flowrate of actual hydrocarbon production of the wells.

3 . The system of claim 1 , wherein the gas production sensors comprise different types of gas production sensors, wherein the modeling parameters comprise a selection of one or more of the different types of gas production sensors, and wherein the gas production data comprises gas characteristics sensed by gas production sensors (i) associated with the selected region, (ii) measured in the selected time period, and (iii) of a type of gas production sensor selected.

4 . The system of claim 3 , wherein the modeling parameters comprise a selection of one or more of the CO 2 content type sensors, H 2 S content type sensors, and total dissolved gas content type sensors.

5 . The system of claim 1 , wherein the generation of the model comprises:

dividing the set of well performance data into:

a training dataset;

a validation dataset; and

a testing dataset;

generating, using the training dataset, trained models of the performance of the subset of the wells located in the selected region, the models configured to determine predicted sales gas characteristics for the selected region based on production characteristics of the wells located in the selected region;

conducting, by applying the validation dataset to the trained models, a validation operation to select one of the trained models as a validated model; and

conducting, by applying the testing dataset to the validated model, a verification operation to verify accuracy of the validated model.

6 . The system of claim 1 , wherein the sales gas criteria comprises a lowest CO 2 , H 2 S or total dissolved gas (TDG) content or a corresponding threshold value for CO 2 , H 2 S or total dissolved gas (TDG) content.

7 . A method of producing hydrocarbons from a hydrocarbon reservoir, the method comprising:

obtaining, by a well production monitoring system, well production data for wells in a hydrocarbon reservoir, the well production data comprising measured hydrocarbon production of the wells in a first production region and wells in a second production region;

sensing, by production sensors of a gas production monitoring system, gas characteristics of hydrocarbons produced by the wells, each of the gas production sensors sensing a characteristic of gas produced by one or more of the wells and being associated with a first production region or a second production region,

generating, by the gas production monitoring system, gas production data comprising measurements of gas characteristics sensed by the gas production sensors, each of the measurements by a gas production sensor being associated with a production region of the gas production sensor and a time of measurement, wherein the gas production sensors comprise carbon dioxide (CO 2 ) content type sensors, hydrogen sulfide (H 2 S) content type sensors, and total dissolved gas content type sensors;

receiving, by way of a user interface of a production monitoring system, user selection of modeling parameters comprising a selected region and a selected time period; and

generating, in response to receiving the selection of the modeling parameters, a set of well performance data comprising:

well production data comprising a subset of the production data for a subset of the wells (i) in the selected region and (ii) measured in the selected time period; and

gas production data comprising gas characteristics sensed by gas production sensors (i) associated with the selected region and (ii) measured in the selected time period;

generating, by a production modeling system and based on the set of well performance data, a model of the performance of the subset of the wells located in the selected region;

identifying, by a production modeling system and based on the model, a first well having the greatest amount of sales gas contributions to production of the hydrocarbon reservoir production system and a second well having the least amount of sales gas contributions to production of the hydrocarbon reservoir production system;

regulating, by a production operations system and based on simulation of the model, operation of one or more of the wells in the selected region, wherein regulating operation of one or more of the wells located in the selected region comprises:

determining, based on application of predicted well production data for the subset of the wells located in the selected region to the validated model, sets of predicted sales gas characteristics for the subset of the wells located in the selected region;

assessing the sales gas characteristics to determine a select one of the sets of predicted sales gas characteristics that satisfies a sales gas criteria;

determining, based on determined select one of the sets of predicted sales gas characteristics, target production flowrates for the wells in the selected region and

operating the wells in the selected region in accordance with the target production flowrates by controlling valves associated with the wells.

8 . The method of claim 7 , wherein the well production monitoring system comprises production flowrate sensors and the measured hydrocarbon production of the wells comprises measurements of flowrate of actual hydrocarbon production of the wells.

9 . The method of claim 7 , wherein the gas production sensors comprise different types of gas production sensors, wherein the modeling parameters comprise a selection of one or more of the different types of gas production sensors, and wherein the gas production data comprises gas characteristics sensed by gas production sensors (i) associated with the selected region, (ii) measured in the selected time period, and (iii) of a type of gas production sensor selected.

10 . The method of claim 9 , wherein the modeling parameters comprise a selection of one or more of the CO 2 content type sensors, H 2 S content type sensors, and total dissolved gas content type sensors.

11 . The method of claim 7 , wherein the generation of the model comprises:

dividing the set of well performance data into:

a training dataset;

a validation dataset; and

a testing dataset;

generating, using the training dataset, trained models of the performance of the subset of the wells located in the selected region, the models configured to determine predicted sales gas characteristics for the selected region based on production characteristics of the wells located in the selected region;

conducting, by applying the validation dataset to the trained models, a validation operation to select one of the trained models as a validated model; and

conducting, by applying the testing dataset to the validated model, a verification operation to verify accuracy of the validated model.

12 . A non-transitory computer readable storage medium comprising program instructions stored thereon that are executable by a processor to perform the following operations for producing hydrocarbons from a hydrocarbon reservoir:

obtaining, by a well production monitoring system, well production data for wells in a hydrocarbon reservoir, the well production data comprising measured hydrocarbon production of the wells in a first production region and wells in a second production region;

sensing, by way of production sensors of a gas production monitoring system, gas characteristics of hydrocarbons produced by the wells, each of the gas production sensors sensing a characteristic of gas produced by one or more of the wells and being associated with a first production region or a second production region,

generating, by the gas production monitoring system, gas production data comprising measurements of gas characteristics sensed by the gas production sensors, each of the measurements by a gas production sensor being associated with a production region of the gas production sensor and a time of measurement, wherein the gas production sensors comprise carbon dioxide (CO 2 ) content type sensors, hydrogen sulfide (H 2 S) content type sensors, and total dissolved gas content type sensors;

receiving, by way of a user interface of a production monitoring system, user selection of modeling parameters comprising a selected region and a selected time period; and

generating, in response to receiving the selection of the modeling parameters, a set of well performance data comprising:

well production data comprising a subset of the production data for a subset of the wells (i) in the selected region and (ii) measured in the selected time period; and

gas production data comprising gas characteristics sensed by gas production sensors (i) associated with the selected region and (ii) measured in the selected time period;

generating, by a production modeling system and based on the set of well performance data, a model of the performance of the subset of the wells located in the selected region;

identifying, by a production modeling system and based on the model, a first well having the greatest amount of sales gas contributions to production of the hydrocarbon reservoir production system and a second well having the least amount of sales gas contributions to production of the hydrocarbon reservoir production system;

regulating, by a production operations system and based on simulation of the model, operation of one or more of the wells in the selected region, wherein regulating operation of one or more of the wells located in the selected region comprises:

determining, based on application of predicted well production data for the subset of the wells located in the selected region to the model, sets of predicted sales gas characteristics for the subset of the wells located in the selected region;

assessing the sales gas characteristics to determine a select one of the sets of predicted sales gas characteristics that satisfies a sales gas criteria;

determining, based on determined select one of the sets of predicted sales gas characteristics, target production flowrates for the wells in the selected region and

operating the wells in the selected region in accordance with the target production flowrates by controlling valves associated with the wells.

13 . The medium of claim 12 , wherein the well production monitoring system comprises production flowrate sensors and the measured hydrocarbon production of the wells comprises measurements of flowrate of actual hydrocarbon production of the wells.

14 . The medium of claim 12 , wherein the gas production sensors comprise different types of gas production sensors, wherein the modeling parameters comprise a selection of one or more of the different types of gas production sensors, and wherein the gas production data comprises gas characteristics sensed by gas production sensors (i) associated with the selected region, (ii) measured in the selected time period, and (iii) of a type of gas production sensor selected.

15 . The medium of claim 12 , wherein the generation of the model comprises:

dividing the set of well performance data into:

a training dataset;

a validation dataset; and

a testing dataset;

generating, using the training dataset, trained models of the performance of the subset of the wells located in the selected region, the models configured to determine predicted sales gas characteristics for the selected region based on production characteristics of the wells located in the selected region;

conducting, by applying the validation dataset to the trained models, a validation operation to select one of the trained models as a validated model; and

conducting, by applying the testing dataset to the validated model, a verification operation to verify accuracy of the validated model.

Assignments (1)
ASSIGNMENT OF ASSIGNOR'S INTEREST Recorded Mar 17, 2022
From: ALMARHOON, HASSAN; KHAMSEEN, SENAN BO
To: SAUDI ARABIAN OIL COMPANY
Reel/Frame 059293/0751 →
Continuity (1)
Related Publication 20230296005A1 · Sep 21, 2023
References Cited (34)
US 6182756B1 · Garcia et al. · 2001 [cited by applicant]
US 8078328B2 · Malki et al. · 2011 [cited by applicant]
US 8244509B2 · Banerjee · 2012 [cited by examiner]
US 9429678B2 · Abitrabi et al. · 2016 [cited by applicant]
US 10108167B2 · Suheil · 2018 [cited by applicant]
US 10280722B2 · Bello et al. · 2019 [cited by applicant]
US 10430725B2 · Anderson et al. · 2019 [cited by applicant]
US 11162331B2 · Babic · 2021 [cited by applicant]
US 20150300151A1 · Mohaghegh · 2015 [cited by applicant]
US 20190048703A1 · Samuel et al. · 2019 [cited by applicant]
US 20200362670A1 · Alanazi et al. · 2020 [cited by applicant]
US 20210042633A1 · Maucec · 2021 [cited by examiner]
US 20210087925A1 · Heidari et al. · 2021 [cited by applicant]
US 20210238971A1 · Crumpton · 2021 [cited by applicant]
US 20210270998A1 · Madasu et al. · 2021 [cited by applicant]
US 20210277749A1 · Alhuraifi et al. · 2021 [cited by applicant]
US 20210301644A1 · Rao et al. · 2021 [cited by applicant]
US 20220198333A1 · Pack · 2022 [cited by examiner]
BR 201000365B1 · 2020 [cited by applicant]
CN 207115139U · 2018 [cited by applicant]
CN 111364953A · 2020 [cited by applicant]
CN 112766772A · 2021 [cited by applicant]
CN 113700455A · 2021 [cited by applicant]
MSA the safety company, NPL, “MSA Gas Detection H2S Flow Panel System”, published Sep. 2015 (Year: 2015). [cited by examiner]
Timur Bikmukhametov, NPL, “First Principles and Machine Learning Virtual Flow Metering: A Literature Review”, Journal of Petroleum Science and Engineering, Published Sep. 10, 2019 (Year: 2019). [cited by examiner]
Al Ghamdi, Bander N et al.; “Assessing Single EOS Predictability using PVT Properties of a Wet-Gas Reservoir on a Compositional Simulator” SPE-187453-MS, SPE Annual Technical Conference and Exhibition, San Antonio, Texa… [cited by applicant]
Amini, Shohreh et al.; “Uncertainty Analysis of a CO2 Sequestration Project Using Surrogate Reservoir Modeling Technique” SPE 153843, SPE Western Regional Meeting Bakersfield, CA, Mar. 19-23, 2012; pp. 1-10. [cited by applicant]
Andreasen, Anders; “Applied Process Simulation-Driven Oil and Gas Separation Plant Optimization using Surrogate Modeling and Evolutionary Algorithms” Journal of Petroleum Science and Engineering, Apr. 23, 2019; pp. 1-35. [cited by applicant]
Firoozabadi, A. et al.; “EOS Predictions of Compressibility and Phase Behavior in Systems Containing Water, Hydrocarbons, and CO2” SPE Reservoir Engineering, May 1988; pp. 673-684. [cited by applicant]
Hu, D. et al.; “Natural gas production data integration and intelligent analysis system” (abstract only) Natural Gas Industry vol. 40, Issue 11, Nov. 25, 2020; pp. 1-4. [cited by applicant]
Singh, A. et al.; “Improving deepwater facility uptime using machine learning approach” (abstract only) SPE-195875-MS, SPE Annual Technical Conference & Exhibition 2019, ATCE 2019, Calgary, Alberta Sep. 30-Oct. 2, 2019;… [cited by applicant]
Transportation Research Board Special Report 322; “Application of Remote Real-Time Monitoring to Offshore Oil and Gas Operations” The National Academies of Sciences, Engineering, Medicine; 2016; pp. 1-96. [cited by applicant]
Zangl, G. et al.; “Comparison of methods for stochastic multiphase flow rate estimation” (abstract only) SPE-170866-MS, SPE Annual Technical Conference and Exhibition, ATCE 2014, Amsterdam, Oct. 27-29, 2019; pp. 1-4. [cited by applicant]
AI Generated Summary; “Total Dissolved Gas Dynamics and Aquatic Health” nature research intelligence; available as of Sep. 5, 2025 at https://www.nature.com/research-intelligence/nri-topic-summaries/total-dissolved-gas-… [cited by applicant]