28 citations · 117 across the 13 of their papers we have counts for
13 papers
Comparison of LSTM autoencoder based deep learning enabled Bayesian inference using two time series reconstruction approaches
Saumik Dana
In this work, we use a combination of Bayesian inference, Markov chain Monte Carlo and deep learning in the form of LSTM autoencoders to build and test a framework to provide robus…
Bayesian inference and Markov chain Monte Carlo based estimation of a geoscience model parameter
Saumik Dana, Karthik Reddy
The critical slip distance in rate and state model for fault friction in the study of potential earthquakes can vary wildly from micrometers to few meters depending on the length s…
Uncertainty Quantification in Friction Model for Earthquakes using Bayesian inference
Saumik Dana, Karthik Reddy Lyathakula
This work presents a framework to inversely quantify uncertainty in the model parameters of the friction model using earthquake data via the Bayesian inference. The forward model i…
A fault slip model to study earthquakes due to pore pressure perturbations
Saumik Dana, Birendra Jha
The burgeoning need to sequester anthropogenic CO for climate mitigation and the need for energy sustenance leading upto enhanced geothermal energy production has made it incre…
Two-grid method on unstructured tetrahedra: Applying computational geometry to staggered solution of coupled flow and mechanics problems
Saumik Dana, Xiaoxi Zhao, Birendra Jha
We develop a computational framework that leverages the features of sophisticated software tools and numerics to tackle some of the pressing issues in the realm of earth sciences.…
A machine learning accelerated FE homogenization algorithm for elastic solids
Saumik Dana, Mary F Wheeler
The FE homogenization algorithm for multiscale modeling iterates between the macroscale and the microscale (represented by a representative volume element) till convergence is…
An efficient algorithm for numerical homogenization of fluid filled porous solids: part-I
Saumik Dana, Mary F Wheeler
The concept of representative volume element or RVE is invoked to develop an algorithm for numerical homogenization of fluid filled porous solids. RVE based methods decouple analys…
A simple framework for arriving at bounds on effective moduli in heterogeneous anisotropic poroelastic solids
Saumik Dana
The concepts of representative volume element (RVE), statistical homogeneity and homogeneous boundary conditions are invoked to arrive at bounds on effective moduli for heterogeneo…
Design of convergence criterion for fixed stress split iterative scheme for small strain anisotropic poroelastoplasticity coupled with single phase flow
Saumik Dana, Mary F Wheeler
We arrive at convergence criterion for the fixed stress split iterative scheme for single phase flow coupled with small strain anisotropic poroelastoplasticity. The analysis is bas…
System of equations and staggered solution algorithm for immiscible two-phase flow coupled with linear poromechanics
Saumik Dana
This document is a presentation of the equations of simultaneous water and oil flow in deformable porous medium and linear poromechanics as well as the staggered solution algorithm…
The correspondence between Voigt and Reuss bounds and the decoupling constraint in a two-grid staggered solution algorithm to coupled flow and deformation in heterogeneous poroelastic media
Saumik Dana, Mary F Wheeler
We perform a convergence analysis of a two-grid staggered solution algorithm for the Biot system modeling coupled flow and deformation in heterogeneous poroelastic media. The algor…
Convergence analysis of fixed stress split iterative scheme for small strain anisotropic poroelastoplasticity: a primer
Saumik Dana, Mary F. Wheeler
This work serves as a primer to our efforts in arriving at convergence estimates for the fixed stress split iterative scheme for single phase flow coupled with small strain anisotr…
Augmented Lagrangian for treatment of hanging nodes in hexahedral meshes
Saumik Dana
The surge of activity in the resolution of fine scale features in the field of earth sciences over the past decade necessitates the development of robust yet simple algorithms that…