CPG

Dr. Abdulaziz A. Al Majed

Dr-Abdulaziz-A-Al-Majed
Tel: +966 (013) 860-2749
Fax: +966 (013) 860-4447

Location: Bldg. 76, Rm. 2115

Dr. Abdulaziz A. Al Majed

Adjunct Associate Professor, Department of Petroleum Engineering

Dr. Al Majed is an experienced Academic & Industrialist of 30 years plus standing. Currently an Adjunct Associate Professor in the Department of Petroleum Engineering. Formerly, he was Chairman of the Department from 2010-12, Director of The Center for Petroleum and Minerals, Research Institute from 2002-10, and Chairman of the Department of Petroleum Engineering from 1996-2002. In addition, he is a full-time CEO-level Consultant at Mas Holding Company that successfully launched Mas Power Mech Arabia in 2013-15.

His academic distinction is reflected in the four duly filed patents under his name, successful projects undertaken and the innovative research compiled around the subject of the oil industry.

Educational Qualification

  • Ph.D., Petroleum Engineering, The University of Southern California, Los Angeles, USA, 1988.
  • M.S., Petroleum Engineering, Stanford University, California, USA, 1981.
  • B.Sc., Petroleum Engineering (Hons.), University of Petroleum and Minerals, KSA, 1978.

Research Interests

  • Reservoir Rock Properties
  • Drilling Engineering
  • Reservoir  Fluid Properties
  • Drilling Engineering
  • Directional Drilling
  • Natural Gas Engineering

Selected Publications

  • Jung J. Kim a, Muhammad K. Rahman b, Abdulaziz A. Al-Majed, Mesfer M. Al-Zahrani d,Mahmoud M. Reda Taha e, Nanosilica effects on composition and silicate polymerization in hardened cement paste cured under high temperature and pressure Cement & Concrete Composites 43 (2013) 78–85.
  • Saad Alafnan, Murtada Aljawad, Fahd Alismail, Abdulaziz A. Al-Majed,” Enhanced Recovery from Gas Condensate Reservoirs through Renewable Energy Sources”. Energy Fuels, Published August 21, 2019
  • Amjed M. Hassan, Mohamed A. Mahmoud, Abdulaziz A. Al-Majed, Dhafer Al-Shehri, Ayman R. Al-Nakhli, and Mohammed A. Bataweel,” Gas Production from Gas Condensate Reservoirs Using Sustainable Environmentally Friendly Chemicals”. Sustainability 2019, 11, 2838.
  • Salaheldin Elkatatny, Tural Jafarov, Abdulaziz A. Al-Majed, Mohamed A. Mahmoud,” Formation Damage Avoidance by Reducing Invasion with Sodium Silicate-Modified Water-based Drilling Fluid”, Energies. Published 19 April 2019.
  • Abdelmjeed Mohamed; Salaheldin Elkatatny, and Abdulaziz A. Al- Majed, “Removal of Calcium Carbonate Water-Based Filter Cake Using a Green Biodegradable Acid” Sustainability Accepted Jan. 2020.

Awards & Honors

  • Winner of the Best Advisor Award, College of Engineering Sciences, KFUPM, 1993-94.
  • Winner of Prince Muhammad Award for Best Scientific Research, 1993-94 (Member, Wettability Project, Research Institute, KFUPM).
  • Winner of Distinguished Research Team Award 1995/96 (Member, Rock Compressibility Project, Research Institute. KFUPM).
  • Winner of British Council Summer Research Grant in UK Universities 2001.
  • Winner of British Council Summer Research Grant in UK Universities 2007.
Fax: + 966 (013) 860-3989

Dr. Michael Pittelkow

Adjunct Associate Professor, CIPR

Michael Pittelkow was born in 1977 in Copenhagen. At the University of Copenhagen he received his PhD degree in 2007. During his studies he spent extended periods in Australia (CSIRO in Melbourne), The Netherlands (The Technical University of Eindhoven) and England (Cambridge University). He undertook postdoctoral studies in the UK (Cambridge University) before moving back to Denmark to start as an adjunkt (assistant professor) at the department of chemistry, University of Copenhagen in November 2008. In 2012 he became a permanent adjunkt and in 2013 he became associate professor (lektor) at the same department. His research interests include organic synthesis, physical organic chemistry, dendrimers and supramolecular chemistry.

Educational Qualification

  • PhD, Chemistry, University of Copenhagen, Denmark, 2007.
  • M.Sc, Chemistry, University of Copenhagen, Denmark, 2003.

Research Interests

  • Synthetic organic chemistry.
  • Supramolecular chemistry.
  • Dynamic combinatorial chemistry.
  • Molecular understanding of descale phenomena in materials and oilfield chemistry.

Selected Publications

Awards & Honors


Location: Bldg. 15

Dr. Oliver Dorn

Adjunct Associate Professor, CIPR

Dr. Oliver Dorn is an internationally recognized authority on the application of level set methods to inverse problems. He is currently a Senior Lecturer at The University of Manchester. During his career, Dr. Oliver Dorn has been working on a large variety of important inverse problems including geophysical tomography, reservoir characterization, biomedical imaging, remote sensing and non-destructive evaluation of materials. He has been collaborating with several international and national companies such as Shell, Repsol/YPF, Schlumberger, Rohde und Schwarz, ITS, AWE, DSTL, LLNL, amongst others. Current research projects include large scale electromagnetic inverse problems, through-the-wall radar imaging, history matching and data assimilation, seismic full waveform inversion, and gravity/gradiometry imaging. He has been participating in a large variety of nationally and internationally funded research projects and consortia in the US, Canada, Spain, France, and the UK. He spent several extended invited research stays at international research centers such as MGSS (Stanford University), MSRI (Berkeley), IPAM (Los Angeles), IMA (Minneapolis), BIRS (Banff) and CenSSIS (Boston). He has presented over 150 mostly invited conference presentations worldwide and has published over 50 peer-reviewed journal and conference papers, book chapters and review papers. Several of his publications have been selected by the journal ‘Inverse Problems’ to be included in its annual ‘Highlights Collections’, including a recent paper in 2017. He has supervised 7 Ph.D. projects and over 20 Master research projects on a variety of relevant practical topics.

Educational Qualification

  • Doctorate (Ph.D.) in Applied Mathematics, University of Münster, Germany, Award: Magna cum Laude. 1997
  • B.S. and M.S. in Mathematics, University of Münster, Germany, Highest award. Course of study: Mathematics. 1993
  • B.S. in Physics (oral exams), University of Münster, Germany. Course of study: Physics. 1992

Research Interests

  • Large scale electromagnetic inverse problems.
  • Seismic full waveform inversion.
  • Gravity and gradiometry imaging.
  • Reservoir characterization and history matching.
  • Through-the-wall radar imaging.
  • Inverse radiative transfer problems including X-ray micro-CT, diffuse optical and neutron/muon tomography.
  • Electrical impedance and capacitance tomography.
  • Statistical and Bayesian inverse problems.
  • Shape-based and level set methods for imaging and inversion.
  • Sparsity-promoting inversion and compressive sensing.
  • Big data, artificial intelligence, and deep learning algorithms.
  • Large scale numerical and shape optimization.
  • Data assimilation and time-dependent inverse problems.

Selected Publications

  • Villegas, C. Etienam, O. Dorn and M. Babaei, Shape and distributed parameter estimation for history matching using a modified ensemble Kalman filter and level sets, Inverse Problems in Science and Engineering, DOI 10.1080/17415977.2019.1583751, 2019.
  • Dorn, Distributed parameter estimation for the time-dependent radiative transfer equation, in: Frontiers in PDE-Constrained Optimization, Antil et al (Ed.), IMA volumes in mathematics and its applications, Springer, pp341-375, 2018.
  • Prieto and O. Dorn, Sparsity and level set regularization for diffuse optical tomography using a transport model in 2D, Inverse Problems 33 (1), 014001, 2016.
  • Dorn and D. Lesselier, Level set methods for structural inversion and image reconstruction, in: Handbook of Mathematical Methods in Imaging, Scherzer et al (Ed.), Springer, New York, pp. 385-444, 2011 (1st ed) and 2015 (2nd ed).
  • Dorn and R. Villegas, History matching of petroleum reservoirs using a level set technique, Inverse Problems 24 (3), 035015, 2008.
  • Dorn and D. Lesselier, Level set methods for inverse scattering, Topical Review, Inverse Problems 22 (4), pp R67-R131, 2006.
  • Soleimani, W.R.B. Lionheart and O. Dorn, Level set reconstruction of conductivity and permittivity from boundary electrical measurements using experimental data, Inverse Problems in Science and Engineering 14 (2) 193-210, 2006.
  • Dorn, E.L. Miller and C.M. Rappaport, A shape reconstruction method for electromagnetic tomography using adjoint fields and level sets, Inverse Problems 16 (5), pp 1119-1156, 2000.
  • Dorn, H. Bertete-Aguirre, J.G. Berryman, and G.C. Papanicolaou, A nonlinear inversion method for 3D electromagnetic imaging using adjoint fields, Inverse Problems 15 (6), pp 1523-1558, 1999.
  • Dorn, A transport-backtransport method for optical tomography, Inverse Problems 14 (5), pp 1107-1130, 1998.

Awards & Honors

  • 2012 Fellow of the British Higher Education Academy, professional recognition of teaching expertise in the UK.
  • 2007 Spanish Accreditation (awarded in a national Habilitation contest) in Applied Mathematics, an official recognition of excellence in research and teaching at national and international level in Spain.
  • International Advisory Board member of the prestigious journal ‘Inverse Problems’ (since 2008) https://iopscience.iop.org/journal/0266-5611
  • Several of my publications have been selected by the journal Inverse Problems to be included on its webpage as ‘featured articles of the year’, in the years 1998, 2000, 2006 and 2017.
  • Consulted regularly by national funding agencies of various countries for evaluating research proposals or outcomes, amongst others: US, Italy, Finland, UK.
  • Appointed as external Ph.D. examiner/opponent at several prestigious research universities in Spain, Canada, UK, France, Italy.
  • Published various invited review papers on emerging research topics and edited invited special sessions at internationally renowned journals.
  • Since 2008 Member of the Society of Industrial and Applied Mathematics (SIAM).
  • Since 2006 Member of the European Association of Geosciences and Engineers (EAGE) (Gold member since 2019).
  • Since 2007 Member of the Institute of Electrical and Electronics Engineers (IEEE).
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