...-Jarnut, et al. 2015 ). Proposed Solution This study presents a decision oriented simulation frame work based on the CLRM. This frame has the potential of being used for future development of a procedure for estimating the value of information of 4D seismic data acquisition. Multiple authors had...

..., 1978 ; Borg and Groenen, 1997 ) and the EnKF. In this paper, we extend the application to integrate time-lapse seismic data. Although we use the ES algorithm in this paper, the proposed algorithm can also be used in conjunction with EnKF method. In the proposed algorithm, the responses (i.e. “modeled...

... matching information optimization problem objective function experiment workflow gradient bottom depth time-lapse seismic data assimilation Artificial Intelligence Upstream Oil & Gas grid block production data mismatch objective function structural parameter seismic data 1...

... time-lapse seismic data and these differences do not always change in tandem. It is a common practice to treat these differences as a single objective optimization problem by aggregating all objectives into a scalar function (weighted-sum), resulting in incomplete exploration of the solution space...

... assimilation reservoir simulation seismic data permeability society of petroleum engineers localization ensemble kalman filter-assimilation ensemble Kalman filter equation saturation Introduction Ensemble Kalman filter (EnKF) shown to be a promising methodology for history matching realistic...

... EnKF and ES-MDA to generate multiple realizations of the porosity, net-to-gross ratio (NTG) and permeability fields by history matching production and seismic impedance data (3D and 4D) in a turbidite reservoir in the Campos Basin. 3D seismic data are integrated first and then 4D and production data...

... ensemble-based method for history matching. history matching history-matching parameter application artificial intelligence seismic data experiment ensemble reservoir simulation evensen production data van leeuwen reservoir model matrix ensemble kalman filter posterior ensemble machine...

... to constrain reservoir models by integrating well production data and/or 4D seismic data. However, history matching is a complex inverse problem, and the computational effort increases with the increasing of the number of matching parameters. It is always a big challenge to history match large fields...

... (MKL) – to integrate multi-scale geological features. Measured reservoir properties and prior knowledge are fused in an intelligent way in order to improve the realism of reservoir models. We show how we can use MKL to combine prior geological knowledge with seismic data. Geologically tailored...

... greatly improve our chances of getting "good" predictions from our reservoir models by including time-lapse (4D) seismic data as part of the history matching process. The value of the surveillance is also discussed in the light of its use in improving reservoir performance prediction. The first part...

.... In the context of linear maximum likelihood estimation, the contribution of seismic data and production data to the objective function can be balanced on the basis of the sum of the inverse of the data and model error covariance matrices. Methods to estimate these covariance matrices for the combined set...

... seismic data optimization technique th european conference artificial intelligence upstream oil & gas automatic history information history forecast history matching reservoir characterization global and local optimization production control spe reservoir simulation symposium reservoir...