Browsing by Author "Efendiev, Yalchin"
Now showing items 1-20 of 147
-
Walgren, Patrick (2022-07-27)Can the mathematical framework developed for constitutive nonlinearities be extended to arbitrary dimensions and capture the structural relationship between forces and displacements? In this work, the mathematics developed ...
-
Wang, Yating (2018-05-24)Multiscale modeling of complex physical phenomena in many areas, including hydrogeology, material science, chemistry and biology, consists of solving problems in highly heterogeneous porous media. In many of these applications, ...
-
Aarnes, Jørg E.; Efendiev, Yalchin (Multiscale Modeling and Simulation - A SIAM Interdisciplinary Journal, 2006)
-
Chen, Xianjin (2009-05-15)We study computational theory and methods for finding multiple unstable solutions (corresponding to saddle points) to three types of nonlinear variational elliptic systems: cooperative, noncooperative, and Hamiltonian. We ...
-
Huang, Jixiang (2017-05-01)Successful exploitation of unconventional resource plays relies on the massive hydraulic fractures which provide high conductive paths and large contact area between formation and wellbore. The pursuit of efficiency and ...
-
Zhang, Zhao (2015-05-13)The quality of the seismic data is essential to quantitative reservoir characterization of rock properties and geological structure interpretation. Although marine multi-component seismic data hold a wealth of information ...
-
Zhu, Jun (Texas A&M University, 2004-11-15)In order to maintain a continuous power suppply, nowadays relays in transmission systems are required to be able to deal with complicated faults involving non-conventional connections, which poses a challenge to the short ...
-
Yang, Changdong (2013-07-26)Unconventional reservoirs are typically characterized by very low permeabilities, and thus, the pressure depletion from a producing well may not propagate far from the well during the life of a development. Currently, two ...
-
Jung, Hye Young (2015-09-29)History Matching is the process of calibrating uncertain parameters of a reservoir model in order to reach the best plausible match with the observed data. By integrating the dynamic data of a reservoir, the reservoir ...
-
Gonzales, Sergio Eduardo (2013-07-23)The increase in energy demand throughout the world has forced the oil industry to develop and expand on current technologies to optimize well productivity. Distributed temperature sensing has become a current and fairly ...
-
Sotelo Gamboa, Edith (2018-10-24)Numerical methods for the simulation of wave propagation have extensive applications in exploration seismology as in velocity estimation and subsurface imaging. Among numerical methods, the standard finite element method ...
-
Arleth, Gregory James (2021-04-13)Solving nonlinear optimal control problems can be a difficult and time intensive process. This is especially true when the state dynamics of the problem are computationally expensive to solve. Using the Theory of Functional ...
-
Xie, Jiang (2012-10-19)Reservoir characterization is one of the most important problems in petroleum engineering. It involves forward reservoir modeling that predicts the fluid behavior in the reservoir and inverse problem that calibrates created ...
-
Sun, Dongmin (Texas A&M University, 2007-04-25)This dissertation is composed of three parts of major contributions: In Chapter II, we developed a new conceptual model and derived a new semi-analytical model for flow to a horizontal well beneath a water reservoir. Instead ...
-
Giugno, Matteo (2013-04-09)Identification of material properties has been highly discussed in recent times thanks to better technology availability and its application to the field of experimental mechanics. Bayesian approaches as Markov-chain Monte ...
-
Song, Joon Jin (Texas A&M University, 2004-11-15)Univariate hierarchical Bayes models are being vigorously researched for use in disease mapping, engineering, geology, and ecology. This dissertation shows how the models can also be used to build modelbased risk maps for ...
-
Konomi, Bledar (2012-02-14)The main objective of this dissertation is to apply Bayesian modeling to different complex and high-dimensional spatial data sets. I develop Bayesian hierarchical spatial models for both the observed location and the ...
-
Mondal, Anirban (2012-10-19)We considered a Bayesian approach to nonlinear inverse problems in which the unknown quantity is a high dimension spatial field. The Bayesian approach contains a natural mechanism for regularization in the form of prior ...
-
Eveline, Vena Florentina (2017-08-02)The main focus of this work was to study formation damage during shut-in time and production following hydraulic fracturing a gas shale formation. More specifically, this work investigated numerically the intricate effects ...
-
Oyerinde, Adedayo Stephen (Texas A&M University, 2005-11-01)In the quest for production optimization from established resources, there is a continual interest in secondary and tertiary recovery methods. The success of these enhanced recovery methods, however, rely to a large extent ...