Schlumberger Technology Corporation

Philip W Pantella

David J Rossi

Omer M Gurpinar

Vidya B Verma

A method of managing a fluid or gas reservoir is disclosed which assimilates diverse data having different acquisition time scales and spatial scales of coverage for iteratively producing a reservoir development plan that is used for optimizing an overall performance of a reservoir. The method includes: (a) generating an initial reservoir characterization, (b) from the initial reservoir characterization, generating an initial reservoir development plan, (c) when the reservoir development plan is generated, incrementally advancing and generating a capital spending program, (d) when the capital spending program is generated, monitoring a performance of the reservoir by acquiring high rate monitor data from a first set of data measurements taken in the reservoir and using the high rate monitor data to perform well-regional and field-reservoir evaluations, (e) further monitoring the performance of the reservoir by acquiring low rate monitor data from a second set of data measurements taken in the reservoir, (f) assimilating together the high rate monitor data and the low rate monitor data, (g) from the high rate monitor data and the low rate monitor data, determining when it is necessary to update the initial reservoir development plan to produce a newly updated reservoir development plan, (h) when necessary, updating the initial reservoir development plan to produce the newly updated reservoir development plan, and (i) when the newly updated reservoir development plan is produced, repeating steps (c) through (h). A detailed disclosure is provided herein relating to the step (a) for generating the initial reservoir characterization and the step (b) for generating the initial reservoir development plan.

Integrated reservoir optimization

The invention relates to a method of performing a numerical model study to accurately forecast a production of a well in a reservoir. The method involves determining a property distribution of the reservoir using a three dimensional (3D) structure and property model for providing an estimate of a 3D structure, wherein the estimate of the 3D structure includes the property distribution, determining a grid system, including a grid and layering mechanism that is superimposed on said 3D structure and said property distribution associated with the digital 3D structure and property model, using a 3D simulator grid system, and determining a rock model using an initial 3D reservoir simulator in response to the estimate of the property distribution associated with the digital 3D structure and property model and the grid system associated with the 3D simulator grid system, wherein the rock model is used to accurately forecast the production of the well in the reservoir.

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Calgary, Canada

Philip W Pantella