... for uncertainty quantification is sparsely documented in the Introduction field of reservoir parameter prediction from seismic data. In this study, we plan to quantify the uncertainty of predicting To estimate reservoir properties from seismic data, porosity from multiple seismic attributes based on RF...

...Facies classification and rock physics model to understand the heterogeneity of the Waha reservoir properties in RG Field, Sirte Basin, Libya Yousf Abushalah* and Laura Serpa, University of Texas at El Paso Abdalla Abdelnabi, Missouri University of Science and Technology Summary diagenetic...

... geophysicist 10 inversion acoustic impedance rmse prediction predicted unstable test score reservoir characterization regression facies reservoir property model-based inversion score increase Facies control on machine learning of acoustic impedance Hongliu Zeng*, Bureau of Economic Geology...

...Quantifying Uncertainties by Utilizing Geostatistical Seismic Integrated Modeling Monirah AlDossary*, Muiz Widatalla, and Mohammed Ashfaq, Dhahran, Saudi Aramco, Saudi Arabia Summary: stochastic manner. The resulting multiple scenarios of each reservoir property model can be utilized both...

... Estimating reservoir properties from seismic data and well logs is one of the most important but challenging tasks in subsurface interpretation and reservoir characterization. Due to the sparsity of well logs and the limited bandwidth of seismic data, one reliable approach for robust subsurface...

... as an unknown. RJMCMC (reversible jump markov chain monte carlo) is an effective tool to solve such transdimensional problems; it generates high resolution models of reservoir properties. Here, we extend the RJMCMC algorithm to simultaneously invert for facies and elastic reservoir properties. At each location...

... reservoir properties (saturation and pressure changes). A synthetic result demonstrates its predictive features in the presence of noise. A 3D MDN petrophysical inversion on the Norne field data revealed a significant saturation drop from the year 2003 to 2006. Presentation Date: Tuesday, September 17...

... of seismic inversion and how their results are used for reservoir characterization. The major challenge in reservoir property modeling of Oil industries is to integrate the vertical resolution of petrophysical data with seismic data for lateral as well as vertical extension. In deterministic inversion...

... and production promoting. Presentation Date: Monday, September 16, 2019 Session Start Time: 1:50 PM Presentation Start Time: 1:50 PM Location: Poster Station 5 Presentation Type: Poster facies annual meeting affection seismic data platform performance data structural geology reservoir property...

... expected properties are subsequently perturbed to best fit the pre-stack seismic response by incorporating empirical rock physics models as constraints to the perturbation analysis. This methodology allows for deterministic prediction of reservoir properties, represented in a detailed 2D seismic model...

... ABSTRACT Unconventional reservoirs cannot be characterized by relying on the juxtaposition of single-attribute analysis. To understand their complexity, many correlated static and dynamic reservoir properties need to be carefully and quantitatively analyzed as part of integrated...

... monitoring activities. However, more sophisticated geophysical tools are required to transform seismic data into reservoir properties so that the pressure and saturation effects from the CO EOR activities can be better understood. A novel simultaneous time-lapse joint inversion based on the wave-equation...

... (Chakraborty et al., 2017, Hartman et al., 2017). In this paper we show that this OBN data has allowed the application of our stochastic inversion workflow (ODiSI) (Connolly and Hughes, 2016) for reservoir property prediction. We demonstrate that the ODiSI process, based on matching a large number...

... ABSTRACT Poisson impedance (PI) has been widely used for characterizing sandstone reservoirs due to its larger sensitivity to the lithology and fluid, compared to the impedance. By adjusting the coefficient (c), we always found a good correlation between the PI and reservoir properties...

... ABSTRACT In this work, we propose a stochastic nonlinear inversion framework for PP and PS seismic data based on the ensemble smoother with multiple data assimilations (ESMDA) to estimate elastic reservoir properties with uncertainty quantification. The ES-MDA is an iterative ensemble-based...

... ABSTRACT In this work, we propose an ensemble-based seismic history matching approach to predict reservoir properties, i.e. porosity and permeability, with uncertainty quantification, using both production and time lapse seismic data. To avoid the common underestimation of uncertainty...

... (FAVO) response is a function of layer thicknesses and their rock and fluid properties. To exploit the FAVO response due to subtle changes in reservoir properties, we propose a new method to derive a reflectivity seismic volume from an input seismic volume. We then estimate frequency dependent AVO...

... in the prospects are sands of the Upper Cretaceous Nise Fm level (Figure 1). All recent discoveries at the Nyk High and Vema Dome show flat spots or amplitude anomalies related to hydrocarbon fill. In the Greater Aasta Hansteen area, the reservoir properties are generally good, with porosity values exceeding 30...

... Summary In this paper we propose a new workflow to perform Petrophysical Joint Inversion (PJI) of surface to surface seismic and Controlled Source ElectroMagnetic (CSEM) data, to recover reservoir properties (clay volume, porosity and saturation). Seismic and CSEM measurements provide...

... ABSTRACT A successful reservoir characterization mainly includes derivation of rock properties from the seismic data and relates them to reservoir properties and mapping their distribution. Modelbased seismic inversion has been carried out to understand various rock properties from the 2D post...