Optimization of rock destruction parameters when drilling wells
DOI:
https://doi.org/10.26906/znp.2022.58.3087Keywords:
drilling, drill bit, rock, optimizationAbstract
Mathematical models of optimization of rock destruction process during well drilling are considered. In most models, the criterion for optimization is the speed of mechanical drilling. According to the authors, this criterion does not allow optimal use of chisels. A method for determining the energy consumption of the process by measuring technological parameters is proposed. Primary converters of load on the chisel, drilling pressure of the drilling mud and other technological parameters are designed and manufactured. Analog signals are converted into digital. The pulsating signals are smoothed mathematically. The optimization criterion is the minimum value of process energy consumption
References
Korovyaka E.A., Khomenko V.L., Vynnykov Yu.L., Kharchenko M.O. & Rastsvetaev V.O. (2021). Drilling wells. Dnipro: National Technical University "Dnipro Polytechnic".
Asad M.M. (2019). Oil and Gas Disasters and Industrial Hazards Associated with Drilling Operation. An Extensive Literature Review. 2nd Intern. Conf. on Computing, Mathematics and Engineering Technologies (ICoMET)
doi.org/10.1109/ICOMET.2019.8673516
El Bouti M.Y. & Allouch M. (2018). Analysis of 801 Work-Related Incidents in the Oil and Gas Industry That Occurred Between 2014 and 2016 in 6 Regions. Energy and Environment Research, 8(1), 32
Vozdvizhensky B.I, Melnychuk I.P. & Peshakov Yu.A. (1973). Physical and mechanical properties of the rocks and their inquiries on the effectiveness of the bum. Nedra
Humeniuk T.V, Kropyvnytska V.B & Tkachivsky D.O. (2010). Methods for identifying drilling stations. Bulletin of Khmelnitsky National University, 1
Demchyna M.M. (2012). Implementation of artificial intelligence concepts in technological processes of drilling of oil and gas wells. Scientific Bulletin of IFNTUNG, 3
Dreus A.Yu. (2018). Thermophysical bases of exhaustion of rocks in diamond drilling wells. Dnipro: Dniprovsk Polytechnic National Technical University
Kryushkin I.T. (1971). Setting the work of a sharosharus chisel on the slaughter. VNIioeing.
Mokrun V., Mokrun N., Tron V., Gaponenko A., Gaponenko I. & Paranyuk D. (2020). Methods of optimization of the drilling process. Mining Bulletin, 107
Shandina V.M. (1970). Intelligence area of contact of the teeth of the chisel with the power of the efficiency of ego robbery. VNIioeing
Tsuprikov A.A. (2021). Intellectual system of adaptive management of the technological process of bummy of non -ft and gas squares. FDBOU VO “KubDTU”
Golev A., Polituchyi O. (1996). Patent № 8696 Method of control of wear the bit.
Florence F. & Iversen F. (2010). Real-Time Models for Drilling Process Automation. Drilling Conference and Exhibition, New Orleans, Louisiana
Iversen F., Gressgard L., Thorogood J. (2013). Drilling Automation: Potential for Human Error. SPE Drilling & Completion, 28(1). 45-59