Systems and methods for subsurface oil recovery optimization

Patent metadata

Field	Value
Publication number	US-10100619-B2
Application number	US-201314015420-A
Country	US
Kind code	B2
Filing date	Aug 30, 2013
Priority date	Oct 6, 2011
Publication date	Oct 16, 2018
Grant date	Oct 16, 2018

Abstract

Systems and methods for subsurface secondary and/or tertiary oil recovery optimization based on either a short term, medium term or long term optimization analysis of selected zones, wells, patterns/clusters and/or fields.

First claim

The invention claimed is:

1. A computer-implemented method, which comprises:
receiving first input corresponding to a selection of one or more zones, wells, patterns, clusters or fields;
identifying a field development plan associated with the one or more selected zones, wells, patterns, clusters or fields, the field development plan corresponding to a sweep efficiency health indicator;
displaying multiple scenarios and one or more long-term optimization actions corresponding to each scenario of the multiple scenarios, each of the one or more long-term optimization actions optimizing hydrocarbon fluid recovery for the one or more selected zones, wells, patterns, clusters or fields, each of the one or more long-term optimization actions being responsive to a predicted future condition, the multiple displayed scenarios and the corresponding one or more long-term optimization actions being ranked according to at least one of net present value, increased oil recovery, or reduced recovery of unwanted gas or fluids, and the ranking being based at least in part on real-time surveillance field data associated with the one or more zones, wells, patterns, clusters or fields;
receiving second input corresponding to a selection of one or more of the multiple scenarios, and displaying each corresponding long-term optimization action of the corresponding one or more selected scenarios;
receiving third input corresponding to a selection of a prediction date for each selected scenario;
executing a simulation for each selected scenario based on the prediction date, the execution of the simulation using one or more predictive models to predict a condition that is simulated to exist on the prediction date, the condition being associated with the one or more zones, wells, patterns, clusters or fields, and the condition resulting from each selected scenario existing for a period of time;
selecting a long-term optimization action responsive to the simulated condition occurring on the prediction date, the long-term optimization action being selected from the one or more long-term optimization actions corresponding to one or more selected scenarios;
updating, based on the predicted condition, the field development plan, the selected long-term optimization action responding to the predicted condition and causing the sweep efficiency health indicator to be modified, and the modified sweep efficiency health indicator representing an improvement over the sweep efficiency health indicator; and
displaying, using one or more processors, each of:
the one or more selected scenarios,
an effect of the determined long-term optimization action on the prediction date, and
the updated field development plan, the updated field development plan being displayed for the field with a respective net present value calculation and the modified sweep efficiency health indicator, and the updated field development plan including an updated schedule for infill and re-drilling of water injection positions.

2. The method of claim 1 , further comprising determining if enhancement is desired based on the one or more selected scenarios, the effect of the determined long-term optimization action on the one or more selected zones, wells, patterns, clusters or fields and the updated field development plan.

3. The method of claim 2 , further comprising selecting one or more desired scenarios from the one or more selected scenarios for implementation.

4. The method of claim 3 , further comprising executing the corresponding long-term optimization action of the corresponding actions for each desired scenario as a long term enhancement response to an undesirable sweep efficiency health indicator.

5. The method of claim 4 , wherein the corresponding long-term optimization action for each scenario is remotely executed.

6. The method of claim 3 , further comprising sending an approval for manual implementation of the corresponding long-term optimization action for each scenario.

7. The method of claim 3 , further comprising sending a request for the implementation of the corresponding long-term optimization actions for each scenario with a business case report and recommendation.

8. The method of claim 1 , wherein the multiple displayed scenarios and the corresponding long-term optimization actions are ranked for enhanced proactive enhancement.

9. The method of claim 1 , further comprising running the one or more selected scenarios on a simulator in real-time to determine the effect of the determined long-term optimization action on the one or more selected zones, wells, patterns, clusters or fields on the prediction date.

10. The method of claim 1 , further comprising diagnosing a cause of an undesirable sweep efficiency health indicator for a sweep efficiency health display using streamline numerical calculation to estimate correlation factors and well allocation factors.

11. The method of claim 1 , wherein the display of the one or more selected scenarios and the effect of the determined long-term optimization action includes infill drilling and re-drilling of water injection positions.

12. A non-transitory program carrier device for carrying computer executable instructions for long term oil recovery enhancement, the instructions being executable to implement:
receiving first input corresponding to a selection of one or more zones, wells, patterns, clusters or fields;
identifying a field development plan associated with the one or more selected zones, wells, patterns, clusters or fields, the field development plan corresponding to a sweep efficiency health indicator;
displaying multiple scenarios and one or more long-term optimization actions corresponding to each scenario of the multiple scenarios, each of the one or more long-term optimization actions optimizing hydrocarbon fluid recovery for the one or more selected zones, wells, patterns, clusters or fields, each of the one or more long-term optimization actions being responsive to a predicted future condition, the multiple displayed scenarios and the corresponding one or more long-term optimization actions being ranked according to at least one of net present value, increased oil recovery, or reduced recovery of unwanted gas or fluids, and the ranking being based at least in part on real-time surveillance field data associated with the one or more zones, wells, patterns, clusters or fields;
receiving second input corresponding to a selection of one or more of the multiple scenarios and displaying each corresponding long-term optimization action of the corresponding one or more selected scenarios;
receiving third input corresponding to a selection of a prediction date for each selected scenario;
executing a simulation for each selected scenario based on the prediction date, the execution of the simulation using one or more predictive models to predict a condition that is simulated to exist on the prediction date, the condition being associated with the one or more zones, wells, patterns, clusters or fields, and the condition resulting from each selected scenario existing for a period of time;
selecting a long-term optimization action responsive to the simulated condition occurring on the prediction date, the long-term optimization action being selected from the one or more long-term optimization actions corresponding to one or more selected scenarios;
updating, based on the predicted condition, the field development plan, the selected long-term optimization action responding to the predicted condition and causing the sweep efficiency health indicator to be modified, and the modified sweep efficiency health indicator representing an improvement over the sweep efficiency health

Assignees

• Landmark Graphics Corp

Inventors

• Ranjan Priyesh
• Gorell Sheldon Burt
• Kumar Amit
• Cullick Alvin Stanley
• Carvajal Gustavo
• Urrutia Karelis Alejandra
• Khan Hasnain
• Saputelli Luigi
• Nasr Hatem

Classifications

• G06F30/00

  Computer-aided design [CAD] · CPC title

• F16L21/005

  made of elastic material, e.g. partly or completely surrounded by clamping devices (comprising packing adapted to sealing by fluid pressure F16L17/04) · CPC title

• B60R3/007 Primary

  Removable steps or ladders, e.g. foldable (as access means for vehicle tops B60R3/005) · CPC title

• G01B7/023

  for measuring distance between sensor and object (G01B7/082 and G01B7/102 take precedence) · CPC title

• B65F3/00

  Vehicles particularly adapted for collecting refuse (vehicles in general B60; driving vehicle equipment or auxiliaries B60K; discharging contents by tilting entire vehicles B65G; wheeled apparatus for emptying sewers or cesspools E03F7/10) · CPC title