In this paper, a new robust approach based on Least Square Support Vector Machine (LSSVM) as a proxy model is used for an automatic fractured reservoir history matching. The proxy model is made to model the history match objective function (mismatch values) based on the history data of the field. This model is then used to minimize the objective function through Particle Swarm Optimization (...

many large oil and gas fields in the most productive world regions happen to be fractured. the exploration and development of these reservoirs is a true challenge for many operators. these difficulties are due to uncertainties in geological fracture properties such as aperture, length, connectivity and intensity distribution. to successfully address these challenges, it is paramount to improve ...

      Many large oil and gas fields in the most productive world regions happen to be fractured. The exploration and development of these reservoirs is a true challenge for many operators. These difficulties are due to uncertainties in geological fracture properties such as aperture, length, connectivity and intensity distribution. To successfully address these challenges, it is paramount to im...

Block heights and capillary continuity between matrix blocks play paramount role in the sensitivity analysis and therefore the history matching of cumulative oil production and production rate of carbonated fractured reservoirs. In this study, the influence of these parameters upon cumulative production and recovery factor of an Iranian fractured reservoir were studied by the usage of a sim...

block heights and capillary continuity between matrix blocks play paramount role in the sensitivity analysis and therefore the history matching of cumulative oil production and production rate of carbonated fractured reservoirs. in this study, the influence of these parameters upon cumulative production and recovery factor of an iranian fractured reservoir were studied by the usage of a simulat...

Reservoir history matching refers to the process of continuously adjusting parameters reservoir model, so that its dynamic response will match historical observation data, which is a prerequisite for making forecasts based on model. With development optimization theory and machine learning algorithms, automatic has made numerous breakthroughs practical applications. In this perspective, existin...

The significant increase in using reservoir simulation models poses significant challenges in the design and calibration of models. Moreover, conventional model calibration, history matching, is usually performed using a trial and error process of adjusting model parameters until a satisfactory match is obtained. In addition, history matching is an inverse problem, and hence it may have non-uni...

in this work, studies of underground gas storage (ugs) were performed on a partially depleted, naturally fractured gas reservoir through compositional simulation. reservoir dynamic model was calibrated by history matching of about 20 years of researvoir production. effects of fracture parameters, i.e. fracture shape factor, fracture permeability and porosity were studied. results showed that di...