Plausibility of Hydrocarbon Potential Analytics of Archieâ€™s Model by Cementation Factor Pliability in Shaly Sand Reservoir
Keywords:Archie Models, cementation factor, porosity, hydrocarbon, water saturations
Comprehensive comparative analyses of 18 shaly sandstone zones in four wells of an Oil Field in the Niger Delta were carried using only the Archie Model with the appropriate cementation factor from a range of 1.3 to 2.0 This was done to comprehensively analyze and statistically validate the need for the applicability of m = 1.3. Detailed statistical analysis of water saturation results of lower and upper 95% confidence intervals for the standard deviations gave the least range of 0.00415 to 0.00724 (m=1.3), 0.00660 to 0.1151 (m=1.65) and maximum of 0.00996 to 0.01747 (m=2.0). This was however validated by the bias results of the standard deviation with -0.00025 for m=1.3, -0.00040 for m=1.65 and -0.00060 for m=2. Hydrocarbon saturation results of lower and upper 95% confidence intervals for the standard also gave the least values of 0.00427 to 0.00740 (m=1.3), 0.00680 to 0.01171 (m=1.65) and 0.01031 to 0.01773 (m=2.0). The bias results of the standard deviation gave the least for m=1.3 as -0.0002, -0.00032 for m=1.65 and -0.00048 for m=2.0. Hydrocarbon movability index results of lower and upper 95% confidence intervals for standard deviation gave the least range for m=1.3 of 0.00521 to 0.00934, 0.00793 to 0.01415 for m=1.65 and 0.01155 to 0.02049 for m=2.0. The bias results of the standard deviation gave also the least for m=1.3 as -0.00031, -0.00047 for m=1.65 and -0.00068 for m=2. The study reveals that the Archie Model predictions was improved with cementation factor of 1.3 and has favourable petrophysical parameters indicating higher hydrocarbon potential than the Simandoux Â and when m=1.65 and 2.0. This model is a valuable tool in a shaly sand environment after thorough validation using the pickett plot.
â€¢ Adeoti, L. Ojo, A. A., Olatinsu, O. B., Fasakin O. O. and Adesanya, O. Y. (2015). Comparative Analysis of Hydrocarbon Potential in Shaly Sand Reservoirs using Archie and Simandoux Models: A Case Study of â€œXâ€ Field, Niger Delta, Nigeria. Ife Journal of Science vol. 17, no.1.
â€¢ Aigbedion, I. and Iyayi, S.E. (2007). Formation Evaluation of Oshioka Field Using Geophysical Well Log, Middle-EastJournal of Scientific Research,2(4), pp.107-110.
â€¢ Archie, G.E. (1942). "The electrical resistivity log as an aid in determining some reservoir characteristics". Petroleum Transactions of AIME. 146, pp54â€“62. doi:10.2118/942054-g.
â€¢ Archie, G.E. (1947). "Electrical resistivity an aid in core-analysis interpretation". American Association of Petroleum Geologists Bulletin. 31 (2), pp 350â€“366.
â€¢ Archie, G.E. (1950). "Introduction to petrophysics of reservoir rocks". American Association of Petroleum Geologists Bulletin. 34 (5), pp943-961. doi:10.1306/3d933f62-16b1-11d7-8645000102c1865d.
â€¢ Archie, G.E. (1952). "Classification of carbonate reservoir rocks and petrophysical considerations". American Association of Petroleum Geologists Bulletin. 36 (2): pp.278â€“298. doi:10.1306/3d9343f7-16b1-11d7-8645000102c1865d.
â€¢ Asquith, G. and Gibson, C. (1982). Basic Well Log Analysis and for Geologists. American Association of Petroleum Geologists, Tulsa, Oklahoma. pp. 216.
â€¢ Chevron (1996). Sandstone Reservoir Evaluation: Sandstone Characteristics. Presented at the Intermediate Formation Evaluation Seminar held in Ibadan, Nigeria. August25 â€“ 31. Pp. 1 â€“ 44.
â€¢ Dewan, J. T. (1983). Essentials of Modern Open-Hole Log Interpretation. Penn Well Publishing Company, Tulsa, Oklahoma, USA. pp361.
â€¢ Hamada, G.M. (1999). An Integrated Approach to determine shale volume of hydrocarbon potential in Shaly Sand, Proceedings of the SPWLA held in Houston, Texas, May-June, pp. 1-25.
â€¢ Ellis, D. V. (1987). Well Logging for Earth Scientists. Elsevier. ISBN 0-444-01180-3.
â€¢ Ellis, D. V. and Singer, J. M. (2008). Well Logging for Earth Scientists (Second ed.). Springer. Pp. 692. ISBN 1-4020-3738-4.
â€¢ Ilozobhie, A.J. Obi, D.A and Okwueze, E.E (2015) Geostatistical analysis of porosity distribution from well log data, in part of Bornu Basin, North- eastern part, Nigeria using Kriging and Co- Kriging methods. Advances in Applied Science Research Vol. 6(2), pp.83-95
â€¢ Ilozobhie, A.J. Okwueze, E.E and Egeh, E.U (2009) Sand- Shaliness Evaluation of Part of Bornu Basin Using well log data. Nigerian Journal of Physics, Vol.21(1), pp. 53-62.
â€¢ Ilozobhie, A.J and Obi, D.A (2010) The Visual basic plotter manager: meeting the challenges of well log digital data conversion. International journal f Natural and Applied Sciences Vol 6 (1$2), pp.77-89
â€¢ Ilozobhie, A.J. and Egu, D.A (2019) Formation Temperature Distribution of the Turonian-Maastrichtian Fika Shale Formation from Wireline Logs in Part of Borno Basin, Northeastern Nigeria. Asian Journal of Applied Sciences 7(5) pp.642-652
â€¢ Ipek, G. (2002). Log Derived Cation Exchange Capacity of Shaly Sands: Application to Hydrocarbon Detection and Drilling Optimization. Faculty of the Louisiana State University and Agricultural andMechanical College, Louisiana. pp.167.
â€¢ Kurniawan, T. (2002). Evaluation of the Hydrocarbon Potential in Low-Salinity Shaly Sand. Graduate Faculty of the Louisiana State University and Agricultural and Mechanical College, Louisiana. pp.94.
â€¢ Lee, M.W. and Collett, T.S. (2006). A Method of ShalySand Correction for Estimating gas Hydrate Saturations using Downhole Electrical Resistivity Log Data. U.S. Geological Survey Scientific InvestigationsReport2006-5121, pp. 4-14.
â€¢ Rider, Malcolm H. (1999). The Geological Interpretation of Well Logs (Second ed.). Whittles Publishing Services. pp. 288. ISBN 0-9541906-0-2.
â€¢ Schlumberger (1972). Log Interpretation Volume 1: Principles. Schlumberger Limited, New York. 113.
â€¢ Ulasi, I., Onyekuru, O. and Iwuagwu, C. J. (2012). Petrophysical Evaluation of UzekWell using Well Log and Core Data, Offshore Depobelt, Niger Delta, Nigeria, Advances in Applied Science Research, 3 (5), pp.1-26.
How to Cite
- Papers must be submitted on the understanding that they have not been published elsewhere (except in the form of an abstract or as part of a published lecture, review, or thesis) and are not currently under consideration by another journal published by any other publisher.
- It is also the authors responsibility to ensure that the articles emanating from a particular source are submitted with the necessary approval.
- The authors warrant that the paper is original and that he/she is the author of the paper, except for material that is clearly identified as to its original source, with permission notices from the copyright owners where required.
- The authors ensure that all the references carefully and they are accurate in the text as well as in the list of references (and vice versa).
- Authors retain copyright and grant the journal right of first publication with the work simultaneously licensed under a Attribution-NonCommercial 4.0 International that allows others to share the work with an acknowledgement of the work's authorship and initial publication in this journal.
- Authors are able to enter into separate, additional contractual arrangements for the non-exclusive distribution of the journal's published version of the work (e.g., post it to an institutional repository or publish it in a book), with an acknowledgement of its initial publication in this journal.
- Authors are permitted and encouraged to post their work online (e.g., in institutional repositories or on their website) prior to and during the submission process, as it can lead to productive exchanges, as well as earlier and greater citation of published work (See The Effect of Open Access).
- The journal/publisher is not responsible for subsequent uses of the work. It is the author's responsibility to bring an infringement action if so desired by the author.