... both static and dynamic uncertainties, characterized the production profiles. Screening allowed reducing these to 11 main uncertain variables. A Wootton, Sergent, Phan-Tan-Luu (WSP) space-filling design yielded 162 simulation runs. Only five out of these corresponded to acceptable history matches...

... simulation run followed by a derivatives calculation session is sufficient to detect how each parameter affects the mismatch, and consequently, to decide how (or whether) to change each parameter to improve the match. This technique was successfully applied to history-match a mature oil field in the Middle...

... optimization algorithm response surface machine learning Upstream Oil & Gas fuzzy logic objective function surrogate model well placement reservoir asrm Optimization Approach placement search space Artificial Intelligence constraint optimization simulation run evolutionary algorithm well...

... simulator) with more than 500 wellbores. The SRM is validated through blind simulation runs and is used to plan filed development while honoring a number of operational constraints (such as limits on FBHP, GOR and WC) required by reservoir management team. SRM was used to increase field production without...

... carlo simulation data mining software upstream oil & gas injection operator choice simulation run society of petroleum engineers oil recovery subsurface uncertainty reservoir probabilistic production forecast The Reservoir Model A new geological model was recently created...

... simulation run saturation reservoir Introduction and background Management of oil and gas reservoirs can be on a full field or at the well level. Management at the well level gives important information on deliverability of individual wells that make up the field. Well test analysis is very...

... an inherent degree of uncertainty. Typical uncertainty analysis techniques require many realizations and runs of the reservoir simulation model. In this day and age, as reservoir models are getting larger and more complicated, making hundreds or sometimes thousands of simulation runs can put considerable...

... of deviation values to show how well the simulation results match the surveillance data. Plotting together the results from more than one simulation run allows a quick comparison of the match for each run, which is useful during the history match process. The third method converts each deviation value...