Relationship Between Rates of Penetration and Costs per Meter of Tricone Rock Bits: Cases from Southeastern Anatolia and Thrace Basins (Turkey)

Yıl 2022, Cilt: 4 Sayı: 1, 79 - 99, 01.11.2021

Adil Ozdemir Ergül Yaşar Yildiray Palabiyik Ahmet Güllü

Öz

Oilwell drilling, which is a very expensive operation, requires advanced technical knowledge and technology. Choosing the most suitable drill bits for the formation conditions to be drilled, which is the most important factor in the drilling cost and the rapid completion of the well, is one of the research subjects in which a large number and detailed studies have been carried out in the last 20 years. The orientations on the subject are towards increasing the "penetration rate of drill bit" on which the drilling economy depends substantially. In addition to the mechanical properties of the rocks and the formation properties including geological conditions, the characteristics of the drill bit such as drill bit types, features, and operating parameters also affect the drilling process of a well. This study aims to examine the types, penetration rates, and costs per meter of drill bits used according to formation types in oil and gas wells in the hydrocarbon production basins of Turkey. Besides, in the study, a new global chart is presented to be used for the selection of tricone rock bits suitable for the formation to be drilled, according to the International Association of Drilling Contractors codes. Thus, in future oilwell drilling operations, a new attempt has been made to select the appropriate tricone rock bits and to penetrate in optimum conditions.

Anahtar Kelimeler

Tricone rock bit, Roller cone bit, Rate of penetration, Cost analysis, Oilwell drilling

Kaynakça

• Alsharhan, A.S., Nairn, A.E.M., 2003. Sedimentary Basins and Petroleum Geology of the Middle East. Elsevier, 843 p.
• Barragan, R.V., Santos, L.A., 1997. Optimization of multiple bits runs. SPE/IADC Drilling Conference, SPE-37644-MS. Doi: 10.2118/37644-MS. B ourgoyne, Jr., A.T., Young Jr., F.S., 1974. A multiple regression approach to optimal drilling and abnormal pressure detection. Society of Petroleum Engineers Journal 14 (4), 371-384. Doi: 10.2118/4238-PA.
• Chenevert, M.E., Hollo, R., 1981. Practical calculator programs. Part 6. Program predicts drilling time, penetration rate. Oil and Gas Journal 79, 166-171.
• Derman, A.S., 2014. Petroleum Systems of Turkish Basins. in L. Marlow, C. Kendall, and L. Yose (eds)., Petroleum Systems of the Tethyan Region, AAPG Memoir 106, p. 469-504.
• Erdoğan, Y., Yıldız, M.İ., Kök, O.E., 2018. Correlating rate of penetration with the weight on bit, rotation per minute, flow rate and mud weight of rotary drilling. Natural and Engineering Sciences 3 (3), 378-385. Doi: 10.28978/nesciences.469298.
• Galle, E.M., Woods, H.B., 1963. Best constant weight and rotary speed for rotary rock bits. API Drilling and Production Practice, Paper No: API-63-048, 48-73.
• Hapnes, M., 2014. Drilling in Salt Formations and Rate of Penetration Modelling. Norwegian University of Science and Technology, Department of Petroleum Engineering and Applied Geophysics, 137 p.
• Hazbeh, O., Aghdam, S.K., Ghorbani, H., Mohamadian, N., Alvar, M.A., Moghadasi, J., 2021. Comparison of accuracy and computational performance between the machine learning algorithms for rate of penetration in directional drilling well. Petroleum Research 6 (3), 271-282. Doi: https://doi.org/10.1016/j.ptlrs.2021.02.004.
• Kor, K., Ertekin, S., Yamanlar, S., Altun, G., 2021. Penetration rate prediction in heterogeneous formations: A geomechanical approach through machine learning. Journal of Petroleum Science and Engineering 207, 109138. Doi: 10.1016/j.petrol.2021.109138.
• Kor, K., Altun, G., 2020a. ROP prediction with Bourgoyne and Young method: A statistical point of view. Proceedings of Turkey IV. Scientific and Technical Petroleum Congress, 18 - 20 November, Ankara, 16 p.
• Kor, K., Altun, G., 2020b. Is support Vector Regression method suitable for predicting rate of penetration? Journal of Petroleum Science and Engineering 194, 107542. Doi: 10.1016/j.petrol.2020.107542.
• Lummus, J.L., 1970. Drilling optimization. Journal of Petroleum Technology 22 (11), 1379-1388. Doi: 10.2118/2744-PA. Mechem, O.E., Fullerton, Jr., H.B., 1973. Constant energy drilling system for well programming. Smith Tool (August 1973), 1-14.
• Okumus, U., Sakcali, A., 2019. A new software developed for use in the creation of well control form. International Journal of Earth Sciences Knowledge and Applications 1 (1), 6-13.
• Ozdemir, A., Güllü, A., Yaşar, E., Palabiyik, Y., 2021a. Drilling engineering assessment and cost analysis of oil and gas wells drilled in onshore of Turkey. International Journal of Earth Sciences Knowledge and Applications 3 (3), 235-243
• Ozdemir, A., Palabiyik, Y., Yaşar, E., Güllü, A., 2021b. A new approach to estimating drilling time, rate of penetration, and drillability of formations in oil and gas exploration and production basins of Turkey. Geomechanics and Geophysics for Geo-Energy and Geo-Resources (in press).
• Ozbayoglu, M.E., Omurlu, C., 2005. Minimization of drilling cost by optimization of the drilling parameters. IPETGAS 2005, 15th International Petroleum and Natural Gas Congress and Exhibition of Turkey, Ankara (in Turkish with English abstract)
• Reed, R.L., 1972. A Monte Carlo approach to optimal drilling. Society of Petroleum Engineers Journal 12 (5), 423-438.
• Warren, T.M., 1987. Penetration rate performance of roller cone bits. SPE Drilling Engineering 2 (1), 9-18. Doi: 10.2118/13259-PA.
• Wojtanowicz, A.K., Kuru, E., 1993. Minimum-cost well drilling strategy using dynamic programming. Journal of Energy Resources Technology 115, 239-246. Doi: 10.1115/1.2906428.
• Young, Jr., F.S., 1969. Computerized drilling control. Journal of Petroleum Technology 21 (4), 483-496. Doi: 10.2118/2241-PA.