Prediction Unconfined Compressive Strength for Different Lithology Using Various Wireline Type and Core Data for Southern Iraqi Field

Main Article Content

Worood Al-Zubaidy
Mohammed Al-Jawad

Abstract

Unconfined Compressive Strength is considered the most important parameter of rock strength properties affecting the rock failure criteria.  Various research have developed rock strength for specific lithology to estimate high-accuracy value without a core.  Previous analyses did not account for the formation's numerous lithologies and interbedded layers. The main aim of the present study is to select the suitable correlation to predict the UCS for hole depth of formation without separating the lithology. Furthermore, the second aim is to detect an adequate input parameter among set wireline to determine the UCS by using data of three wells along ten formations (Tanuma, Khasib, Mishrif, Rumaila, Ahmady, Maudud, Nahr Umr, Shuaiba and Zubair). After calibration with core test, the results revealed that Young’s Modulus correlations are the best to predict UCS with RMSE (53.23 psi).


Furthermore, the result showed that using the static Young Modulus as an input parameter in predicting UCS gives a closer result to the laboratory test than using a sonic log. This study found that many previous equations were developed for only one type of rock and tended to generalize poorly to the broader database. This study also provided more accurate rock strength estimation, leading to better prognosis in operational strategies and hydraulic fracturing location planning in oil well development when geomechanical analysis needs to be addressed where no core is available. Finally, the expected continuous rock mechanical profile indicates the formation's strength and stability around the wellbore.

Article Details

How to Cite
“Prediction Unconfined Compressive Strength for Different Lithology Using Various Wireline Type and Core Data for Southern Iraqi Field” (2023) Journal of Engineering, 29(11), pp. 109–128. doi:10.31026/j.eng.2023.11.07.
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How to Cite

“Prediction Unconfined Compressive Strength for Different Lithology Using Various Wireline Type and Core Data for Southern Iraqi Field” (2023) Journal of Engineering, 29(11), pp. 109–128. doi:10.31026/j.eng.2023.11.07.

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References

Abdulraheem, A., Ahmed, M., Vantala, A., and Parvez, T., 2009. Prediction of rock mechanical parameters for hydrocarbon reservoirs using different artificial intelligence techniques. SPE Saudi Arabia Section Technical Symposium. OnePetro. Doi: 10.2118/126094-MS

Ahmed, B. I., and Al-Jawad, M. S., 2020. Geomechanical modelling and two-way coupling simulation for carbonate gas reservoir. Journal of Petroleum Exploration and Production Technology, 10, pp. 3619-3648. Doi: 10.1007/s13202-020-00965-7

Abed, A. A., and Hamd-Allah, S. M., 2019. Comparative Permeability Estimation Method and Identification of Rock Types using Cluster Analysis from Well Logs and Core Analysis Data in Tertiary Carbonate Reservoir-Khabaz Oil Field. Journal of Engineering, 25(12), pp. 49-61. Doi: 10.31026/j.eng.2019.12.04

Al-Shayea, N. A., 2004. Effects of testing methods and conditions on the elastic properties of limestone rock. Engineering geology, 74(1-2), pp. 139-156. Doi: 10.1016/j.enggeo.2004.03.007

Allawi, R. H., and Al-Jawad, M. S., 2021a. 4D Finite element modeling of stress distribution in depleted reservoir of south Iraq oilfield. Journal of Petroleum Exploration and Production Technology, 12, pp. 679-700. Doi: 10.1007/s13202-021-01329-5

Allawi, R. H., and Al-Jawad, M. S., 2021b. Wellbore instability management using geomechanical modeling and wellbore stability analysis for Zubair shale formation in Southern Iraq. Journal of Petroleum Exploration and Production Technology, 11, pp. 4047-4062. Doi: 10.1007/s13202-021-01279-y

Ameen, M. S., Smart, B. G., Somerville, J. M., Hammilton, S., and Naji, N. A., 2009. Predicting rock mechanical properties of carbonates from wireline logs (A case study: Arab-D reservoir, Ghawar field, Saudi Arabia). Marine and Petroleum Geology, 26(4), pp. 430-444. Doi: 10.1016/j.marpetgeo.2009.01.017

Aziz, Q. A. A., and Hussein, H. A., 2021a. Mechanical rock properties estimation for carbonate reservoir using laboratory measurement: A case study from Jeribe, Khasib and Mishrif Formations in Fauqi Oil Field. The Iraqi Geological Journal, 21(54), pp. 88-102. Doi:10.46717/igj.54.1E.8Ms-2021-05-29

Aziz, Q. A. A., and Hussein, H. A. A., 2021b. Development a Statistical Relationship between Compressional Wave Velocity and Petrophysical Properties from Logs Data for JERIBE Formation ASMARI Reservoir in FAUQI Oil Field. Iraqi Journal of Chemical and Petroleum Engineering, 22(3), pp. 1-9. Doi:10.31699/IJCPE.2021.3.1

Bradford, I., Fuller, J., Thompson, P., and Walsgrove, T.,1998. Benefits of assessing the solids production risk in a North Sea reservoir using elastoplastic modelling. SPE/ISRM rock mechanics in petroleum engineering, Trondheim, Norway, July 1998. SPE-47360-MS. doi: 10.2118/47360-MS

Chang, C., Zoback, M. D., and Khaksar, A., 2006. Empirical relations between rock strength and physical properties in sedimentary rocks. Journal of Petroleum Science and Engineering, 51(3-4), pp. 223-237. Doi: 10.1016/j.petrol.2006.01.003

Edimann, K., Somerville, J., Smart, B., Hamilton, S., and Crawford, B., 1998. Predicting rock mechanical properties from wireline porosities. SPE/ISRM Rock Mechanics in Petroleum Engineering. Trondheim, Norway, July 1998. SPE-47344-MS. Doi: 10.2118/47344-MS

Fjær, E., Holt, R. M., Horsrud, P., and Raaen, A. M., 2021. Petroleum related rock mechanics, Elsevier.

Hassan, K. H., and Hussien, H. A. A., 2019. Estimation of rock strength from sonic log for Buzurgan oil field: A Comparison study. Iraqi Journal of Chemical and Petroleum Engineering, 20(1), pp. 49-52. Doi: 10.31699/IJCPE.2019.1.7

Horsrud, P., 2001. Estimating mechanical properties of shale from empirical correlations. SPE Drilling & Completion, 16(2), pp. 68-73. Doi: 10.2118/56017-PA

Hoshino, K., 1974. Effect of porosity on the strength of the clastic sedimentary rocks. Advances in rock mechanics: Proceedings of the 3rd Congress of International Society of Rock Mechanics, Denver, Colorado, September, pp. 511-516.

Kowalski, J., 1975. Formation strength parameters from well logs. SPWLA 16th Annual Logging Symposium. OnePetro.

Mcnally, G., 1987. Estimation of coal measures rock strength using sonic and neutron logs. Geoexploration, 24(4-5), pp. 381-395. Doi: 10.1016/0016-7142(87)90008-1

Neeamy, A. K., and Selman, N. S., 2020. Wellbore breakouts prediction from different rock failure criteria. Journal of Engineering, 26(3), pp. 55-64. Doi: 10.31026/j.eng.2020.03.05

Onyia, E., 1988. Relationships between formation strength, drilling strength, and electric log properties. SPE Annual Technical Conference and Exhibition. Houston, Texas, Oct. 1988, SPE-18166-MS. Doi: 10.2118/18166-MS

Plumb, R., 1994. Influence of composition and texture on the failure properties of clastic rocks. Rock mechanics in petroleum engineering. OnePetro.

Ranjbar-Karami, R., and Shiri, M., 2014. A modified fuzzy inference system for estimation of the static rock elastic properties: A case study from the Kangan and Dalan gas reservoirs, South Pars gas field, the Persian Gulf. Journal of Natural Gas Science and Engineering, 21, pp. 962-976. Doi: 10.1016/j.jngse.2014.10.034

Ryshkewitch, E., 1953. Compression strength of porous sintered alumina and zirconia: 9th communication to ceramography. Journal of the American Ceramic Society, 36(2), pp. 65-68. Doi: 10.1111/j.1151-2916.1953.tb12837.x

Sarda, J., Kessler, N., Wicquart, E., Hannaford, K., and Deflandre, J., 1993. Use of porosity as a strength indicator for sand production evaluation. SPE Annual Technical Conference and Exhibition. Houston, Texas, Oct. 1993, SPE-26454-MS. Doi: 10.2118/26454-MS

Savitri, C., Maulianda, B., Mohshim, D. & Elraies, K., 2021. A Novel Estimation Approach of Unconfined Compressive Strength (UCS) and Improved Rock Mechanical Properties Correlations by Considering The Effect of Overpressure Condition, Mineralogy, and Shale Composition in Montney Shale Gas, British Columbia, Canada. 55th US Rock Mechanics/Geomechanics Symposium. OnePetro.

Sethi, D. K.,1981. Well log applications in rock mechanics. SPE/DOE Low Permeability Gas Reservoirs Symposium. OnePetro.Doi: 10.2118/9833-MS

Vernik, L., Bruno, M., and Bovberg, C., 1993. Empirical relations between compressive strength and porosity of siliciclastic rocks. International journal of rock mechanics and mining sciences & geomechanics abstracts, 30(7), pp. 677-680. Doi: 10.1016/0148-9062(93)90004-W

Xu, H., Zhou, W., Xie, R., Da, L., Xiao, C., Shan, Y., and Zhang, H., 2016. Characterization of rock mechanical properties using lab tests and numerical interpretation model of well logs. Mathematical Problems in Engineering, Article ID 5967159. Doi: 10.1155/2016/5967159

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