ІНФОРМАЦІЙНЕ ЗАБЕЗПЕЧЕННЯ ПРОЦЕСУ БУРІННЯ СВЕРДЛОВИН НА ОСНОВІ ЗАСТОСУВАННЯ СУЧАСНИХ МЕТОДІВ, ТЕХНІЧНИХ ЗАСОБІВ І ТЕХНОЛОГІЙ

• Datum: 2022
• Hauptverfasser: Ефендієв, Г.М., Ісаєв, Р. А., Пірівєрдієв, І. А., Джанзаков, І. І., Буктибаєва, С. К.
• Format: Artikel
• Sprache: Russian
• Veröffentlicht: Институт сверхтвердых материалов им. В. Н. Бакуля Национальной академии наук Украины 2022
• Schlagworte: нечітка логіка; буримість; гірська порода; прийняття рішень; інформація; геолого-технологічні дослідження
• Online Zugang: http://altis-ism.org.ua/index.php/ALTIS/article/view/250
• Назва журналу: Tooling materials science

The quality and completeness of information on the drillability of rocks has a great influence on the efficiency of technological decisions taken when drilling wells. The analysis and generalization of the experience of using the information obtained during drilling and the assessment of its quality considered in this report play an important role in the application of various methods of improving the quality of information when making decisions at various stages of drilling. When analyzing the work of bits, it is advisable to divide the section into homogeneous intervals and, within their limits, to consider the patterns of changes in drilling indicators. However, the solution of problems of modeling technological processes is significantly hampered by the presence of uncertainty associated with both the use of random and fuzzy quantities. In this regard, fuzzy logic is successfully applied, where the variance depends on hidden, inherent parameters and measurement error. This paper discusses the application of the noted provisions on the example of predicting the lithology, as well as the drillability of rocks of the section of drilled wells according to a set of signs obtained as a result of geological-geophysical and technological research in the process of drilling wells. Porosity, carbonate content and density were selected as features characterizing the properties of rocks, which also affect their drillability. According to the above methods, calculations were performed, as a result of which the cumulative fuzzy probability was obtained. When comparing lithologies that are equally possible, have similar probabilities, harmonic combining highlights any indicator that shows that a particular lithology is unlikely to be selected. Fuzzy logic lithology prediction is based on the assertion that a particular type of lithology can cause any indication on the initial data, in particular the well log, although some indications are more likely than others. Thus, the use of complex information in combination with the methods of mathematical statistics and fuzzy logic can improve the quality of the information received and requires its appropriate analysis, which is especially important in poorly studied regions. Thanks to this, it becomes possible to make more effective decisions when choosing technical means and technology.