Case Studies

Reservoir Uncertainty Analysis & Error Quantification

Subsurface Dynamics is an independent engineering and geoscience consulting firm with extensive experience in reservoir characterization, modeling and simulation. We provide a full spectrum of engineering and geophysical services from data acquisition to final data integration and full field development programs.

CASE STUDIES, CLIENT: Undisclosed
FORMATION: International, FORMATION: Tight Carbonate Reservoir With High Shale Volume
Jun | 2020

"Subsurface Dynamics was tasked with assessing and determining the impact of measurement uncertainty and errors present in a constructed dynamic model due to deficient quality data measurements and errors embedded in measurement techniques. Most input data to the model was historic with limited production history from the recent past."

Project Summary

Subsurface Dynamics was tasked with assessing and determining the impact of measurement uncertainty and errors present in a constructed dynamic model due to deficient quality data measurements and errors embedded in measurement techniques. Most input data to the model was historic with limited production history from the recent past.

CLIENT: UNDISCLOSED

FORMATION: International, tight carbonate reservoir with high shale volume

SSD case studies Reservoir Uncertainty Analysis data 1

SSD case studies Reservoir Uncertainty Analysis data 2

Scope of Work

Using data provided by the Client, Subsurface Dynamics reviewed all physical measurements which were used as inputs into the static and dynamic models. Ranges of uncertainty were then applied and used as sensitivities in the dynamic simulation model. Sensitivities were reviewed at a well, formation and field level.

reservoir uncertainty SSD case study 6 analysis and error quantification graph 3

reservoir uncertainty SSD case study 6 analysis and error quantification graph 4

Result

As a result of the study, the measurements which were of poorest quality and also had the greatest impact on field performance were determined. A set of results on a well-by-well and field basis provided a range of expected production in the future. A future field measurement plan was created and recommended which would reduce model performance uncertainty by over 200% and improve future development decisions to maximize the value of the field.