| 摘要 |
A system and method is taught to substantially automate forecasting for a hydrocarbon producing reservoir through integration of modeling module workflows. A control management module automatically generates static and dynamic offspring models, with static and dynamic modeling software, until a performance objective associated with the forecasting of the reservoir is satisfied. The performance objective can include an experimental design table to determine a sensitivity of a particular parameter or can be directed towards reservoir optimization, i.e., ultimate hydrocarbon recovery, net present value, reservoir percentage yield, reservoir fluid flow rate, or history matching error. |
| 主权项 |
1. A computer-implemented method to automate forecasting of a hydrocarbon producing reservoir, the method comprising:
(a) providing a performance objective associated with forecasting of a hydrocarbon producing reservoir via a user interface in communication with a reservoir modeling program, wherein the performance objective is an uncertainty assessment, and the uncertainty assessment comprises an experimental design table including a parameter selected from the group consisting of permeability distributions, porosity distributions, fluid contacts, fluid saturations, geobody connectivity, pore volume, fault transmissibility, sedimentological properties, reservoir fluid flow rates, reservoir pressure characteristics, reservoir temperature characteristics, upscaling properties, and training images; (b) automatically generating a gridded static model representative of at least a portion of the hydrocarbon producing reservoir via a static modeling module of the reservoir modeling program using static reservoir data and a discrete set of static parameters; (c) automatically generating a dynamic model representative of at least a portion of the hydrocarbon producing reservoir via a dynamic modeling module of the reservoir modeling program using the static model and a discrete set of dynamic parameters; (d) evaluating the dynamic model against the performance objective via a control management module of the reservoir modeling program; (e) until the performance objective is satisfied, iteratively combining the static and dynamic models, via the control management module of the reservoir modeling program, to automatically generate an offspring model per iteration, wherein combining the static and dynamic models includes regenerating at least one of the dynamic model or the static model during each iteration; and (f) outputting a result according to the performance objective associated with the forecasting of the hydrocarbon producing reservoir subsequent to completion of step (e). |
