...
King Abdullah University of Science and Technology (KAUST)

Pore-Scale modeling for NMR and PC measurements using Random-Walk, Finite-Elements and Machine-Learning

Unspecified
Opslaan als favoriet

The wire-line nuclear magnetic resonance (NMR) tool is a well-borehole logging technology that is routinely used for exploration and reservoir characterization. NMR logging is a fast imaging technology that can be applied while drilling within the wellbore to provide various spatially continuous measurements, such as formation porosity, permeability, water, and hydrocarbon distributions. This technology has enabled major advances in the oil & gas industry related to exploration, reservoir characterization, and management. However, its capability is not fully exploited. 

The objective of this project is to develop a modeling framework including the use of Random-Walk method to predict NMR measurements, pore-scale finite-element modeling on 3D digital models, generated from CT-images to predict capillary pressure, and data-driven, physics-driven machine-learning.    

Applications are sought for a two-year postdoc position, and will work closely with an industry partner. The position will include a competitive salary based on the candidate’s qualifications; benefits include medical and dental insurance, free furnished housing on the KAUST campus, annual travel allowance to visit home country, annual paid vacation, and other generous benefits. The successful applicant will become a part of the Ali I. Al-Naimi Petroleum Engineering Research Center (ANPERC) at KAUST.

Qualified applicants should possess a Ph.D. in computational sciences, geoscience, petrophysics, reservoir engineering, or a closely related field. The candidate should be experienced with multiphase flow in porous media, pore-scale modeling, random-walk or Lattice Boltzmann method, familiar with NMR and MICP technologies and measurements,  and proficient in scientific coding, including C++ , Python, Matlab, and physics-driven machine learning.

Requirements

  • Excellent problem-solving skills
  • Excellent communication skills in English
  • Good record of publications in quality journals
  • Single Page Cover letter including a description of research experience and research interests 
  • CV including list of publications

Informatie over de vacature

Functienaam
Pore-Scale modeling for NMR and PC measurements using Random-Walk, Finite-Elements and Machine-Learning
Locatie
King Abdullah University of Science and Technology Thuwal, Saudi-Arabië
Gepubliceerd
2022-04-05
Uiterste sollicitatiedatum
Unspecified
Soort functie
Opslaan als favoriet

Meer vacatures bij deze werkgever

Over de werkgever

Established in 2009, King Abdullah University of Science and Technology (KAUST) is a graduate research university devoted to finding solutions for ...

De pagina van de werkgever bekijken

Relevante stories

...
Finding Academic Freedom in Saudi Arabia King Abdullah University of Science and Technology (KAUST) Leestijd: 4 min
...
Fueling Cleaner Combustion on and off the Racetrack King Abdullah University of Science and Technology (KAUST) Leestijd: 4 min
...
Using Statistical Models to Solve Environmental Problems King Abdullah University of Science and Technology (KAUST) Leestijd: 4 min
...
Tracking the Curve: Analyzing the Emotional Response to COVID-19 King Abdullah University of Science and Technology (KAUST) Leestijd: 5 min
...
Diving for Coral Reefs in the Red Sea King Abdullah University of Science and Technology (KAUST) Leestijd: 5 min
Meer stories