USA flag logo/image

An Official Website of the United States Government

AN EFFICIENT NUMERICAL METHOD FOR HIGH-RESOLUTION FLUID TRACKING IN OIL…

Award Information

Agency:
Department of Energy
Branch:
N/A
Award ID:
2585
Program Year/Program:
1986 / SBIR
Agency Tracking Number:
2585
Solicitation Year:
N/A
Solicitation Topic Code:
N/A
Solicitation Number:
N/A
Small Business Information
Numerical Computation Corp
22 Meadow Dr Stony Brook, NY 11790
View profile »
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No
 
Phase 2
Fiscal Year: 1986
Title: AN EFFICIENT NUMERICAL METHOD FOR HIGH-RESOLUTION FLUID TRACKING IN OIL RECOVERY PROCESSES-
Agency: DOE
Contract: N/A
Award Amount: $182,000.00
 

Abstract:

IF THE RELEVANT RESERVOIR PARAMETERS WERE KNOWN PRECISELY, THEN ONE COULD SIMULATE THE ENHANCED OIL RECOVERY PROCESSES NUMERICALLY ON A COMPUTER TO TRACK THE INJECTED FLUIDS; UNFORTUNATELY, THIS IS NOT TRUE IN PRACTICE. HENCE THE ABILITY TO IDENTIFY THESE RESERVOIR PARAMETERS FROM THE PRESSURE AND/OR SATURATION MEASUREMENTS AT THE SPARSELY LOCATED EXISTING OB- SERVATION WELLS BECOMES NECESSARY PRIOR TO THE RESERVOIR SIMULATION. THE IDENTIFICATION CAN BE ACHIEVED BY EXTENDING THE PROVEN ITERATIVE NUMERICAL ALGORITHM, THE GENERALIZED PULSE-SPECTRUM TECHNIQUE (GPST). IN PHASE I, GPST WILL BE USED TO IDENTIFY THE UNKNOWN RESERVOIR PARAMETERS FROM THE PRESSURE AND/OR SATURATION MEASUREMENTS AT THOSE SPARSELY LOCATED OBSERVATION WELLS IN A TWO-DIMENSIONAL AND TWO-PHASE FLOW RESERVOIR MODEL AND TO TRACK THE INJECTED FLUID EVERYWHERE IN THE RESERVOIR ACCURATELY. IN PHASE II, GPST WILL BE FURTHER GENERALIZED AND MADE SUPER-EFFICIENT BY TAKING ADVANTAGE OF PARRALLELISM, VECTORIZATION, ADAPTIVE GRIDS, DOMAIN DECOMPOSITION, ETC., TO IDENTIFY THE UNKNOWN RESERVOIR PARAMETERS FROM THE PRESSURE AND/OR SATURATION MEASUREMENTS AT THOSE SPARSELY LOCATED OBSERVATION WELLS IN A THREE-DIMENSIONAL AND THREE-PHASE FLOW RESERVOIR MODEL AND TO TRACK THE INJECTED FLUIDS EVERY- WHERE IN THE RESERVOIR ACCURATELY.

Principal Investigator:

Dr. Yung Ming Chen
Principal Investigator
5167519518

Business Contact:

Small Business Information at Submission:

Numerical Computation
22 Meadow Drive Stony Brook, NY 11790

EIN/Tax ID:
DUNS: N/A
Number of Employees: N/A
Woman-Owned: No
Minority-Owned: No
HUBZone-Owned: No