Authors: V.N. Karpov, A.I. Konurin, D.V. Orlov

Title of the article: Experience and perspectives of application of research methods of rock mechanical destruction processes during drilling of wells

Year: 2024, Issue: 2, Pages: 41-78

Branch of knowledge: 2.8.8 Mining machines, geotechnology (engineering)

Index UDK: 622.243:622.24.08:550.8.053

DOI: 10.26730/2618-7434-2024-2-41-78

Abstract: The paper considers the experience of application of methods of researching the process of impact of mining machine actuators during impact-rotational, rotational-impact and rotary drilling of boreholes at mining enterprises in Russia. Examples of identification of main and auxiliary operations of drilling process by video and acoustic records are given. The cyclogram of spectral analysis of acoustic data during pneumatic-hammer drilling of a deep blast hole is considered. On the basis of acoustic and video data recordings of drilling process examples of determination of mechanical, trip speed of drilling and cost of direct expenses are given. A modified expression for determining local technical rates of work (productivity) is proposed. The developed models of technical and economic efficiency of well drilling and their application in the open pit and ore mine are presented. Examples of determining resource parameters of drilling tools and submersible pneumatic hammers are considered. The results of research on determination of rational modes of impact-rotational drilling of boreholes in hard rocks are given. An expression for determining the indenter wear path depending on the location in the bit matrix during impact-rotary drilling of wells is proposed. The developed diagram of bit indenter wear estimation at impact-rotary drilling of wells is presented. The results of research of mechanical destruction of rocks by submersible pneumatic hammers with different power characteristics are given. Methods of express-analysis of acoustic records of drilling process are considered. The algorithm of neural network training in automatic mode allowing to determine the current values of drilling energy efficiency and to suggest drilling modes with minimum energy consumption of rock destruction is proposed.

Key words: Drilling well method efficiency acoustic method bit efficiency diagram percussive drilling strength productivity wear resource cost modes parameters indenters flight cyclogram neural network dataset artificial intelligence

Receiving date: 19.01.2024

Approval date: 28.03.2024

Publication date: 29.08.2024

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