Development of viscoelastic systems and technologies for isolating water-bearing horizons with abnormal formation pressures during oil and gas wells drilling

Article provides a brief overview of the complications arising during the construction of oil and gas wells in conditions of abnormally high and abnormally low formation pressures. Technological properties of the solutions used to eliminate emergency situations when drilling wells in the intervals of catastrophic absorption and influx of formation fluid have been investigated. A technology for isolating water influx in intervals of excess formation pressure has been developed. The technology is based on the use of a special device that provides control of the hydrodynamic pressure in the annular space of the well. An experiment was carried out to determine the injection time of a viscoelastic system depending on its rheology, rock properties and technological parameters of the isolation process. A mathematical model based on the use of a special device is presented. The model allows determining the penetration depth of a viscoelastic system to block water-bearing horizons to prevent interformation crossflows and water breakthrough into production wells.

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Qualitative analysis of time series geodata to prevent complications and emergencies during drilling of oil and gas wells

Proceedings of OilGasScientificResearchProjects Institute SOCAR ◽

10.5510/ogp20200300442 ◽

2020 ◽

pp. 31-37 ◽

Cited By ~ 1

Author(s):

A.N. Dmitrievsky ◽

◽

N.A. Eremin ◽

E.A. Safarova ◽

D.S. Filippova ◽

...

Keyword(s):

Real Time ◽

Oil And Gas ◽

Comprehensive Analysis ◽

Technological Parameters ◽

Gas Wells ◽

Systematic Analysis ◽

Geological Characteristics ◽

Machine Learning Methods ◽

Oil And Gas Wells ◽

Analysis Of Time Series

The purpose of the article is a systematic analysis of drilling data obtained from geological and technological measurement stations in real time, taking into account the geological characteristics of the area being drilled for further forecasting the possibility of complications and accidents during drilling and construction of oil and gas wells. Comprehensive analysis showed the lack of basic software for the recognition and prevention of complications and emergencies based on data obtained in real time. An equally important problem is the lack of reliable lithological and stratigraphic information on the description of sludge during geological and technological measurements. The list of geological and geophysical data required to solve the problem of preventing complications and accidents during the drilling of oil and gas wells has been determined. Geological and technological parameters along the wellbore depth obtained in real time were classified according to the degree of their applicability in machine learning methods.

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FORECAST OF TIME-PERIODS BETWEEN EMERGENCY SITUATIONS AND FAILURES DURING OIL AND GAS WELLS DRILLING BY USING AN ARTIFICIAL NEURAL NETWORK

Oilfield Engineering ◽

10.30713/0207-2351-2019-1-52-61 ◽

2019 ◽

pp. 52-61

Author(s):

O.V. Zakharov ◽

Keyword(s):

Neural Network ◽

Artificial Neural Network ◽

Oil And Gas ◽

Gas Wells ◽

Emergency Situations ◽

Oil And Gas Wells ◽

Time Periods ◽

Artificial Neural

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Application of artificial intelligence methods for identifying and predicting complications in the construction of oil and gas wells: problems and solutions

Georesursy ◽

10.18599/grs.2020.3.87-96 ◽

2020 ◽

Vol 22 (3) ◽

pp. 87-96

Author(s):

Alexander D. Chernikov ◽

Nikolay A. Eremin ◽

Vladimir E. Stolyarov ◽

Alexander G. Sboev ◽

Olga K. Semenova-Chashchina ◽

...

Keyword(s):

Artificial Intelligence ◽

Oil And Gas ◽

Multidimensional Data ◽

Technological Parameters ◽

Gas Wells ◽

Well Drilling ◽

Artificial Intelligence Methods ◽

Oil And Gas Wells ◽

Problems And Solutions ◽

And Training

This paper poses and solves the problem of using artificial intelligence methods for processing large volumes of geodata from geological and technological measurement stations in order to identify and predict complications during well drilling. Digital modernization of the life cycle of wells using artificial intelligence methods, in particular, helps to improve the efficiency of drilling oil and gas wells. In the course of creating and training artificial neural networks, regularities were modeled with a given accuracy, hidden relationships between geological and geophysical, technical and technological parameters were revealed. The clustering of multidimensional data volumes from various types of sensors used to measure parameters during well drilling has been carried out. Artificial intelligence classification models have been developed to predict the operational results of the well construction. The analysis of these issues is carried out, and the main directions for their solution are determined.

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DEVELOPMENT OF SOFTWARE FOR TRANSPARENT REMOTE ACCESS TO TECHNOLOGICAL PARAMETERS OF DRILLING AND DATA FROM A DOWNHOLE TELEMETRY SYSTEM IN UNSTABLE COMMUNICATION CONDITIONS

Interexpo GEO-Siberia ◽

10.33764/2618-981x-2019-2-3-95-101 ◽

2019 ◽

Vol 2 (3) ◽

pp. 95-101

Author(s):

Vasiliy Litvinov ◽

Aleksandr Vlasov ◽

Dmitry Teytelbaum

Keyword(s):

Oil And Gas ◽

Data Transfer ◽

Software Tool ◽

Remote Access ◽

Drilling Process ◽

Technological Parameters ◽

Gas Wells ◽

Transfer Rates ◽

Drilling Parameters ◽

Oil And Gas Wells

In some cases, drilling of oil and gas wells requires the provision of support for the drilling process, which includes monitoring of parameters and making urgent decisions. Based on the implementation of the SSH protocol, a software tool has been developed for transparent access to drilling parameters, taking into account the constraints of office-rig channels, such as low data transfer rates, frequent connection breaks, the use of NAT.

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