A new joint inversion algorithm to directly estimate reservoir parameters is described. This algorithm combines seismic amplitude versus angle (AVA) and marine controlled source electromagnetic (CSEM) data. The rock-properties model needed to link the geophysical parameters to the reservoir parameters is described. Errors in the rock-properties model parameters, measured in percent, introduce errors of comparable size in the joint inversion reservoir parameter estimates. Tests of the concept on synthetic one-dimensional models demonstrate improved fluid saturation and porosity estimates for joint AVA-CSEM data inversion (compared to AVA or CSEM inversion alone). Comparing inversions of AVA, CSEM, and joint AVA-CSEM data over the North Sea T...
Complex reservoirs make hydrocarbon exploration challenging, and therefore improvement of methods fo...
Using electromagnetic (EM) and seismic travel time data and a least-square criteria, a two-dimension...
We apply three methods that use different regularization strategies to insert spatial constrains int...
Reservoir fluid saturations and porosity are estimated using a two-stage process consisting of an un...
Joint inversion of seismic AVA and CSEM data requires rock-physics relationships to link seismic att...
Porosity and water saturation in a horizontal top-reservoir are estimated from seismic AVO (Amplitud...
A two-dimensional joint inversion technique, based on a least-squares criterion of the data misfit a...
Rock physics serves as the link between reservoir parameters and the effective elastic reservoir pro...
In the last decades, the marine controlled source electromagnetic (CSEM) method has proven to be a u...
Petro-physical parameters, such as porosity and fluid (water, oil, and/or gas) saturation, which pro...
We develop a sampling-based Bayesian model to jointly invert seismic amplitude versus angles (AVA) a...
We investigate the interactions between the elastic parameters, Vp, Vs and density, estimated by non...
Recent advances in seismic-constrained reservoir characterization combine statistical rock-physics a...
We formulate the amplitude versus angle (AVA) inversion in terms of a Markov Chain Monte Carlo (MCMC...
We consider the processing of well log data, in which the measurements taken at a reservoir level (f...
Complex reservoirs make hydrocarbon exploration challenging, and therefore improvement of methods fo...
Using electromagnetic (EM) and seismic travel time data and a least-square criteria, a two-dimension...
We apply three methods that use different regularization strategies to insert spatial constrains int...
Reservoir fluid saturations and porosity are estimated using a two-stage process consisting of an un...
Joint inversion of seismic AVA and CSEM data requires rock-physics relationships to link seismic att...
Porosity and water saturation in a horizontal top-reservoir are estimated from seismic AVO (Amplitud...
A two-dimensional joint inversion technique, based on a least-squares criterion of the data misfit a...
Rock physics serves as the link between reservoir parameters and the effective elastic reservoir pro...
In the last decades, the marine controlled source electromagnetic (CSEM) method has proven to be a u...
Petro-physical parameters, such as porosity and fluid (water, oil, and/or gas) saturation, which pro...
We develop a sampling-based Bayesian model to jointly invert seismic amplitude versus angles (AVA) a...
We investigate the interactions between the elastic parameters, Vp, Vs and density, estimated by non...
Recent advances in seismic-constrained reservoir characterization combine statistical rock-physics a...
We formulate the amplitude versus angle (AVA) inversion in terms of a Markov Chain Monte Carlo (MCMC...
We consider the processing of well log data, in which the measurements taken at a reservoir level (f...
Complex reservoirs make hydrocarbon exploration challenging, and therefore improvement of methods fo...
Using electromagnetic (EM) and seismic travel time data and a least-square criteria, a two-dimension...
We apply three methods that use different regularization strategies to insert spatial constrains int...