Journal of
Petroleum and Gas Engineering

  • Abbreviation: J. Petroleum Gas Eng.
  • Language: English
  • ISSN: 2141-2677
  • DOI: 10.5897/JPGE
  • Start Year: 2010
  • Published Articles: 124

Full Length Research Paper

Probabilistic approach for shale volume estimation in Bornu Basin of Nigeria

Stephen Adjei
  • Stephen Adjei
  • Petroleum Engineering Department, College of Petroleum Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia.
  • Google Scholar
Aggrey N. Wilberforce
  • Aggrey N. Wilberforce
  • Petroleum Engineering Department, College of Engineering, Kwame Nkrumah University of Science and Technology, Ghana.
  • Google Scholar
Daniel Opoku
  • Daniel Opoku
  • Petroleum Engineering Department, College of Petroleum Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia.
  • Google Scholar
Isah Mohammed
  • Isah Mohammed
  • Petroleum Engineering Department, College of Petroleum Engineering, King Fahd University of Petroleum and Minerals, Saudi Arabia.
  • Google Scholar


  •  Received: 22 May 2019
  •  Accepted: 24 July 2019
  •  Published: 31 August 2019

References

Adam E, Mohammed B (2017). Correct Shale Volume Estimation and Clay Typing Identification in Shaly Sand Reservoirs: Case Study of Zarga Formation , Keyi Oil Field 18(1):22-33.

 

Adekoya JA, Ola PS, Olabode SO (2014). Possible Bornu Basin Hydrocarbon Habitat- A Review. International Journal of Geoscience 5:983-996.
Crossref

 

Adepelumi AA, Alao OA, Kutemi TF (2011). Reservoir Characterization and Evaluation of Depositional Trend of the Gombe Sandstone, Southern Chad Basin Nigeria. Journal of Petroleum and Gas Engineering 2(6):118-131.

 

Airuwaili SB, Alwaheed HH (2004). Petrophysical Models and Techniques for Shaly-Sand Formation Evaluation. Society of Petroleum Engineers, 11th ADIPEC: Abu Dhabi International Petroleum Exhibition and Conference pp. 261-272.
Crossref

 

Ali S, Orazulike DM (2011). Estimation of the Petrophysical Parameters of Sediments from Chad Basin Using Well Logs. Global Journal of Geological Sciences 9(2).

 

Alkhatib A, King P (2013). Uncertainty Quantification of a Chemically Enhanced Oil Recovery Process : Applying the Probabilistic Collocation Method to a Surfactant-Polymer. SPE Middle East Oil and Gas Show and Conference, Manama, Bahrain.

 

David SO, Rodolfo SB, Jonathan SO, Pasquel O, Arteaga D (2015). A universal Equation to Calculate Shale Volume for Shaly-sands and Carbonate Reservoirs. In SPE Latin American and Caribbean Petroleum Engineering Conference, Quito, Ecuador, 18-20 Novermber. Society of Petroleum Engineers.
Crossref

 

Hamada GM (1996). An Integrated Approach to Determine Shale Volume and Hydrocarbon Potential in Shaly Sand. Presented at SCA International Symposium pp. 2093-107.

 

Hamza H, Hamidu I (2012). Hydrocarbon Resource Potential of the Bornu Basin Northeastern Nigerian. Global Journal of Geological Sciences 10(1):71-84.

 

Mohammed YB, Tela B (2012). Assessment of Tertiary Sediments Of Bornu Basin for Possible Hydrocarbon Reservoir 1(4):251-257.

 

Nathanail CP, Rosenbaum MS (1991). Probabilistic slope stability assessment using Latin Hypercube Sampling." 7th ISRM Congress. International Society for Rock Mechanics and Rock Engineering.

 

Obaje NG, Wehner H, Hamza H, Scheeder G (2004). New Geochemical Data from the Nigerian Sector of the Chad Basin: Implications on Hydrocarbon Prospectivity. Journal of African Earth Sciences 38(5):477-487.
Crossref

 

Ola PS, Adekoya JA, Olabode OS (2017). Source Rock Evaluation in the Lake Chad Area of the Bornu Basin, Nigeria. Journal of Petroleum and Environmental Biotechnology 8:346. 
Crossref

 

Sanusi A, Mickus K (2014). Gravity and Magnetic Analysis of the Bornu Basin, Northeast Nigeria. Geological Society of America Annual Meeting in Vancouver, Canada.19-22 October

 

Szabó NP (2011). Shale volume estimation based on the factor analysis of well-logging data. Acta Geophysica 59(5):935.
Crossref

 

Worthington PF (2008). Quality-Assured Evaluation of Effective Porosity Using Fit-for-Purpose Estimates of Shale Volume Fraction. 49th Annual Logging Symposium, Texas, USA, 25-28 May.Society of Petrophysics and Well-Log Analyssts

 

Xiu D (2007). Efficient Collocational Approach for Parametric Uncertainty Analysis.Communications in Computational Physics 2(2):293-309.