Application of adaptive object-oriented optimization software to an automatic optimization oilfield hydrocarbon production management system

• US 6,434,435 B1
• Filed: 05/14/1999
• Issued: 08/13/2002
• Est. Priority Date: 02/21/1997
• Status: Expired due to Term

• Current Assignee: Baker Hughes Incorporated (Baker Hughes Company)
• Original Assignee: Baker Hughes Incorporated (Baker Hughes Company)
• Inventors: Hales, Lynn B., Ynchausti, Randy A., Foot, Donald G. Jr., Tubel, Paulo S.
• Primary Examiner(s): PATEL, RAMESH B
• Application Number:
  US09/312,450
• Time in Patent Office: 1,187 Days
• Field of Search: 700/28, 700/29, 700/30, 700/31, 700/32, 700/46, 700/47, 700/48, 700/49, 700/117, 703/2, 717/2, 717/4, 717/10, 709/100, 709/104, 709/315, 709/316, 709/332, 709/200, 709/201, 166/250.15, 166/250.01, 166/257, 166/53, 166/262, 166/264, 359/341-1-3, 340/853-2-8, 340/853.8, 340/856.3
• US Class Current: 700/30
• CPC Class Codes: E21B 2200/22 Fuzzy logic, artificial intelligence, neural networks or the like
• CPC Class Codes: E21B 34/06 in wells
• CPC Class Codes: E21B 43/12 Methods or apparatus for controlling the flow of the obtained fluid to or in wells E21B43/25 takes precedence; valve arrangements E21B34/00
• CPC Class Codes: G05B 13/029 using neural networks and expert systems
• CPC Class Codes: G05B 13/048 using a predictor
• CPC Class Codes: G05B 15/02 electric
• CPC Class Codes: G06N 3/045 Combinations of networks
• CPC Class Codes: G06N 5/043 Distributed expert systems; Blackboards

Abstract

The systems and the methods relating to process control optimizations systems useful to manage oilfield hydrocarbon production. The systems and the methods utilize intelligent software objects which exhibit automatic adaptive optimization behavior. The systems and the methods can be used to automatically manage hydrocarbon production in accordance with one or more production management goals using one or more adaptable software models of the production processes.

Claims

1. An apparatus for management of hydrocarbon production from a downhole well comprising:

a production management system having supervisory control and data acquisition software, a production management goal, and a software model of a controllable process;

an intelligent device comprising a processor unit and memory associated with said processor unit in which said supervisory control and data acquisition software executes;

a sensor, capable of communicating sensed data representative of at least one parameter of hydrocarbon production processing, in communication with said production management system; and

a controllable device, capable of responding to control commands and controlling at least one production process variable influencing said hydrocarbon production processing, in communication with said production management system

wherein

said sensor communicates data to said production management system, said production management system communicates with said controllable device, and said supervisory control and data acquisition software utilizes said software model and said data from said sensor to control said controllable device to manage hydrocarbon production in accordance with said production management goal.

2. The apparatus of claim 1 further comprising an intelligent software object in communication with said production management system, wherein said intelligent software object further comprises:

a plurality of internal software objects, said plurality of internal software objects being selected from the group of expert system software objects, adaptive models software objects, predictor software objects, optimizer software objects, and combinations thereof

wherein

said expert system software object is in communication with said optimizer software object and may modify said optimizer software object'"'"'s behavior,

said expert system software object is in communication with said predictor software object and may modify said predictor software object'"'"'s behavior,

said expert system software object is in communication with said adaptive models software object and may modify said adaptive models software object'"'"'s behavior,

said optimizer software object is in communication with said expert system software object and may modify said expert system software object'"'"'s behavior,

said optimizer software object is in communication with said predictor software object and may modify said predictor software object'"'"'s behavior, and

said optimizer software object is in communication with said adaptive models software object and may modify said adaptive models software object'"'"'s behavior

whereby

said plurality of internal software objects exhibit aggregate goal seeking behavior.

3. The apparatus of claim 2 wherein the sensor is selected from the group of sensors comprising non-intelligent sensors located downhole, intelligent devices that are sensors located downhole, non-intelligent sensors located at the surface, intelligent devices that are sensors located at the surface, non-intelligent sensors located subsea, and intelligent devices that are sensors located subsea.

4. The apparatus of claim 2 wherein the controllable device is selected from the group of controllable devices comprising non-intelligent controllable devices located downhole, intelligent devices that are controllable devices located downhole, non-intelligent controllable devices located at the surface, intelligent devices that are controllable devices located at the surface, non-intelligent controllable devices located subsea, and intelligent devices that are controllable devices located subsea.

5. A method of management of hydrocarbon production from a downhole well for an apparatus of claim 2, comprising:

a. providing the supervisory control and data acquisition software with at least one production management goal;

b. providing the supervisory control and data acquisition software with at least one software model of a controllable process;

c. providing at least one sensor;

d. providing at least one controllable device,

e. providing the supervisory control and data acquisition software with data from the sensor, and

f. having the supervisory control and data acquisition software utilize the software model of a controllable process, the intelligent software object, and the data from the to control the controllable device to achieve the management of hydrocarbon production in accordance with the production management goal.

6. The apparatus of claim 1 wherein said sensor is selected from the group of non-intelligent sensors located downhole, intelligent sensors located downhole, non-intelligent sensors located at the surface, intelligent sensors located at the surface, non-intelligent sensors located subsea, and intelligent sensors located subsea.

7. The apparatus of claim 1 wherein said controllable device is selected from the group of non-intelligent controllable devices located downhole, intelligent controllable devices located downhole, non-intelligent controllable devices located at the surface, intelligent controllable devices located at the surface, non-intelligent controllable devices located subsea, and intelligent controllable devices located subsea.

8. An apparatus for management of hydrocarbon production from a downhole well comprising:

a production management system having supervisory control and data acquisition software;

an intelligent device comprising a processor unit and memory associated with said processor unit in which said supervisory control and data acquisition software executes;

a source of historical data relevant to said downhole well, capable of communicating said historical data, in communication with production management system;

a sensor, capable of communicating sensed data representative of at least one parameter of hydrocarbon production processing, in communication with said production management system; and

a controllable device, capable of responding to control commands and controlling at least one production process variable influencing said hydrocarbon production processing, in communication with said production management system

wherein

said production management system utilizes said sensed data, and said historical data to control said controllable device to manage said hydrocarbon production.

9. The apparatus of claim 8 further comprising a current data source wherein said current data source provides said production management system with substantially current data other than said sensor data.

10. A method of management of hydrocarbon production from a downhole well for an apparatus comprising supervisory control and data acquisition software, an intelligent device comprising a processor unit and memory associated with said processor unit in which said supervisory control and data acquisition software executes, a sensor in communication with said supervisory control and data acquisition software, and a controllable device capable of controlling at least one production process variable influencing said production where said controllable device is in communication with said supervisory control and data acquisition software, said method comprising the steps of:

providing said supervisory control and data acquisition software with a production management goal and a software model of a controllable process;

providing sensed data to said supervisory control and data acquisition software from a sensor, said sensed data being representative of at least one parameter of processing production from said downhole well; and

having said supervisory control and data acquisition software utilize said software model of a controllable process and said data from said sensor to control said controllable device thereby achieving said management of hydrocarbon production in accordance with said production management goal.

11. A method of management of hydrocarbon production from a downhole well for an apparatus comprising supervisory control and data acquisition software, an intelligent device comprising a processor unit and memory associated with said processor unit in which said supervisory control and data acquisition software executes, a sensor in communication with said supervisory control and data acquisition software, a source of historical data in communication with said supervisory control and data acquisition software, and a controllable device capable of controlling at least one production process variable thereby influencing said production where said controllable device is in communication with said supervisory control and data acquisition software, said method comprising the steps of:

providing said supervisory control and data acquisition software with data from said historical data source relevant to said well;

providing said supervisory control and data acquisition software with data from said sensor representative of at least one parameter of said management of hydrocarbon production; and

having said supervisory control and data acquisition software utilize said data from said historical data source and said data from said sensor to control said controllable device and thereby control at least one production process variable to influence said management of hydrocarbon production.