System and Method for Oil Production Forecasting and Optimization in a Model-Based Framework

• US 20080255892A1
• Filed: 04/11/2007
• Published: 10/16/2008
• Est. Priority Date: 04/11/2007
• Status: Abandoned Application

• Current Assignee: Chevron USA Incorporated (Chevron Corp.), University of Southern California
• Original Assignee: Chevron USA Incorporated (Chevron Corp.), University of Southern California
• Inventors: Prasanna, Viktor K., Orangi, Abdollah, Bakshi, Amol, Da Sie, William J., Zhang, Cong
• Application Number:
  US11/734,214
• Publication Number:
  US 20080255892A1
• Time in Patent Office: Days
• US Class Current: 705/7
• CPC Class Codes: G06Q 10/04 Forecasting or optimisation specially adapted for administrative or management purposes, e.g. linear programming or "cutting stock problem" market predictions or forecasting for commercial activities G06Q30/0202
• CPC Class Codes: G06Q 10/063 Operations research, analysis or management
• CPC Class Codes: G06Q 10/0639 Performance analysis of employees; Performance analysis of enterprise or organisation operations

Abstract

Systems and methods are directed to forecasting oilfield production in an integrated asset management framework and specifying conditions associated with the plurality of models. A graphical interface for generates a plurality of models that represent asset components in the oilfield, and a database stores the plurality of models. An application toolkit for analyzes at least one of the plurality of stored models based on a scenario to forecast a performance of an asset component associated with the at least one analyzed model.

Claims

1. A system for forecasting oilfield production in an integrated asset management framework, the system comprising:

a graphical interface for generating a plurality of models that represent asset components in the oilfield and specifying conditions associated with the plurality of models;

a model database for storing the plurality of models; and

an application toolkit for analyzing at least one of the plurality of stored models based on the conditions to forecast a performance of an asset component associated with the at least one analyzed model.

2. The system of claim 1, wherein the asset components comprise physical and non-physical assets.

3. The system of claim 2, wherein the physical asset components comprise pumps, subterranean reservoirs, pipe network systems, well bores connecting the reservoirs to pipe network systems, separators, processing systems for processing fluids produced from the subterranean reservoirs and heat and water injection systems.

4. The system of claim 2, wherein the non-physical asset components comprise reliability estimators, production controls, field constraints, and drilling schedules.

5. The system of claim 1, further comprising an inventory model for instantiating a desired number and relationship of model elements and setting attributes of each model element to reflect a reality of the asset.

6. The system of claim 5, wherein the inventory model defines the scenario.

7. A method of integrated forecasting in an integrated asset management framework, the method comprising:

instantiating model elements of an asset component to generate an inventory model of an asset;

defining at least one scenario based on the inventory model; and

analyzing the at least one scenario to forecast a performance of the asset.

8. The method of claim 7, further comprising classifying the model elements as physical or non-physical components.

9. The method claim 7, wherein the instantiating step further comprises:

reading legacy data associated with an asset.

10. A computer readable medium storing a program for performing a method of integrated forecasting in an integrated asset management framework, the method comprising:

instantiating model elements of an asset component to generate an inventory model of an asset;

defining at least one scenario based on the inventory model; and

analyzing the at least one scenario to forecast a performance of the asset.