«Onshore and offshore oil and gas well construction»

Analysis of drilling modes optimization process by cutting bits using the method of drilling support-technological wells

UDC: 622.242.3
DOI: -

Authors:

¹ National University of Oil and Gas "Gubkin University", Moscow, Russia
² Drill Lab AI, Hadbad al Zafran, United Arab Emirates

Keywords: drilling mode optimization, support-technological wells, learning curve, neural networks, PDC, blade bits, technical limit

Annotation:

The authors of the article analyze the method of drilling modes optimization by using cutting-type bits by drilling support-technological wells (STW). It was found that STW drilling is more economically efficient compared to the "learning curve" at low rock pressure (vertical depth is up to ~1500 m) or a geological section represented by soft and medium-hard rocks. The prospects and ways of improving the STW drilling method by using modern cutting bits – PDC are considered, which will significantly expand the scope of its application. The method of STW drilling includes recording the mechanical rate of penetration (MRP) at various combinations of drilling mode parameters in the given mining, geological and technical conditions. To prepare the MRP forecasting model, field data obtained from the GTI station during drilling of three wells included in one cluster at the Sillimanite field in the North Sea were used. Drilling was carried out from jack-up drilling rigs in conditions similar in geology and technology.

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