... information. For example, Zhu and Zabaras (2018) used grid blocks of reservoir properties as inputs to perform image-to-image regression, predicting pressure maps in heterogeneous reservoirs using a convolutional encoder-decoder. Another application was by Mo et al. (2019) where a convolutional encoder...

... are integrated with sampling methods, uncertainty can be reduced by updating the uncertainty distribution of the reservoir properties. This work presents a practical methodology to systematically reduce uncertainties in a multiobjective assisted HM while dealing with multiple scenarios and assimilating well...

... information two-factor production model realization lsm algorithm decision policy bratvold decision tree reservoir property SPE Reservoir Evaluation primary recovery optimization A decision tree is a useful analysis tool for visualizing and communicating the structure of such sequential...

.... The different methods were developed using specific data sets and have their own assumptions and limitations, and thus are not universally applicable. This study shows that a DCA method should be capable of simultaneously modeling the flow regime prevalent around the well and the changes in reservoir properties...

... & Gas multifractured horizontal well reservoir property drillstem/well testing november 2018 transient response SPE Reservoir Evaluation fracture analytical model reservoir hydraulic fracture Drillstem Testing equation drawdown wellbore storage idorenyin horizontal well log-log plot...

.... Reservoir fluid is a heavy oil with specific gravity of 12.3 °API and viscosity of 320 cp at reservoir conditions. Upstream Oil & Gas crump reservoir property pressure buildup Drillstem Testing Hite diffusivity heterogeneous case Artificial Intelligence fitting eigenvalue average...

... in this well. The results in both wells are shown to compare favorably with core data. There are numerous challenges unique to shale petrophysics that must be confronted and overcome to determine reliable and robust shale-reservoir properties from well logs. First, the mineral matrix in organic shales...

... various reservoir properties. By computing the mutual information between the reservoir parameters and the temperature-profile data, the reservoir properties with higher influence on the reservoir- and wellbore-temperature-profile data are identified. The associated uncertainty in these reservoir...

...M. Emami Niri; D. E. Lumley Summary We present a new method for seismic reservoir characterization and reservoir-property modeling on the basis of an integrated analysis of 3D-seismic data and hydraulic flow units, and apply it to an example of a producing reservoir offshore Western Australia. Our...

...R.. Freedman; V.. Anand; T.. Zhou; D.. Rose; S.. Beekman Summary Many problems in reservoir characterization require the formulation and solution of an inverse problem. The definition of the inverse problem is the prediction of reservoir properties from measurements made on the reservoir. The most...

... boundaries affect the pressure behavior. Results of applying this method in the field cases showed that the model enabled us to predict multilateral-well performance, to obtain information about reservoir connectivity, and to estimate well and reservoir properties in a multilayer system. Uncertainty caused...

... signal Waggoner water saturation reservoir property Upstream Oil & Gas information porosity Artificial Intelligence Thickness seismic information vector saturation drilling program october 2008 amplitude assumption Standard Deviation SPE Reservoir Evaluation University...

...Y. Cheng; D. A. McVay; J. Wang; W. B. Ayers Summary It is often difficult to quantify the redevelopment potential of marginal oil and gas fields because of a wide range of depositional environments, variability in reservoir properties, a large number of wells, and limited reservoir information...

... significant principal components (PC's). The clusters are used as a categorical variable when predicting reservoir properties away from well control. The novelty in this approach is that PCA analysis is used to analyze covariance relationships between all vector elements (neighboring amplitude values...

... the geostatistical inversion method provides clear quantification of uncertainties affecting the modeling of reservoir properties between wells. This methodology was introduced by Bortoli et al . 1 and Haas and Dubrule. 2 It is also discussed in Dubrule et al . 3 and Rowbotham et al . 4 Its...

.... The method, called sequential Gaussian simulation with block Kriging (SGSBK), treats the seismic map as a soft estimate of the average reservoir property. With this method, the average of the cell values in any one vertical column of grid cells is constrained by the value of the seismic map over that column...

... the equivalent properties at different length scales are computed recursively, the interdependent influences of the heterogeneities on the scales are included effectively. We demonstrate the method by successfully applying it to upscale interbedset and interfacies reservoir properties of Almond formation...