Simultaneous inversion of multiple microseismic data for event locations and velocity model with Bayesian inference

Joint microseismic event location with uncertain velocity

We study the problem of the joint location of seismic events using an array of receivers. We show that locating multiple seismic events simultaneously is advantageous compared to the more traditional approaches of locating each event independently. Joint location, by design, includes estimating an uncertainty distribution on the absolute position of the events. From this can be deduced the dist...

Joint Bayesian Stochastic Inversion of Well Logs and Seismic Data for Volumetric Uncertainty Analysis

Here in, an application of a new seismic inversion algorithm in one of Iran’s oilfields is described. Stochastic (geostatistical) seismic inversion, as a complementary method to deterministic inversion, is perceived as contribution combination of geostatistics and seismic inversion algorithm. This method integrates information from different data sources with different scales, as prior informat...

Simultaneous Inversion of Velocity and Density Profiles

~~~~~~Summary ~difference between the total field P and the incident field Po. Go is the Green's function associated with a point source in a homo-The multidimensional inverse scattering problem for an acous-geneous medium. U,(.) a [c 2 /c 2 (X)]-1 and U,(z) a ln[p(_)/po] tic medium is considered within the homogeneous background can be termed the "velocity scattering potential" and the "den-Bo...

Classical and Bayesian Inference in Two Parameter Exponential Distribution with Randomly Censored Data

Abstract. This paper deals with the classical and Bayesian estimation for two parameter exponential distribution having scale and location parameters with randomly censored data. The censoring time is also assumed to follow a two parameter exponential distribution with different scale but same location parameter. The main stress is on the location parameter in this paper. This parameter has not...

Algorithms and inference for simultaneous-event multivariate point-process, with applications to neural data