scholarly journals Development of Software for Transparent Remote Access to Technological Parameters of Drilling and Data from a Downhole Telemetry System in Unstable Communication Conditions

2019 ◽  
Vol 17 (2) ◽  
pp. 101-113
Author(s):  
V. S. Litvinov ◽  
A. A. Vlasov ◽  
D. V. Teytelbaum

In some cases, the drilling of oil and gas wells requires support for the drilling process, which consists in monitoring the parameters and making urgent decisions. Accompanying drilling takes place using the existing communication channels between the office and drilling. Satellite and mobile communications are most common. They are characterized by a low speed of receiving and transmitting data, frequent disconnects, the use of NAT. As part of this work, a software tool has been developed for transparent access to drilling parameters and measurements while drilling from a telemetry system in order to organize remote tracking via existing communication channels, taking their limitations into account. The software was based on the implementation of the SSH protocol, which provided compression and encryption of the transmitted data and transparent access to TCP services at the rig. This makes it possible to use existing software to access drilling measurements, which makes it possible to reduce the amount of data transferred in comparison with remote desktops. The software has been tested in conditions close to the field, and has shown its suitability for solving the tasks it was designed for.

2019 ◽  
Vol 2 (3) ◽  
pp. 95-101
Author(s):  
Vasiliy Litvinov ◽  
Aleksandr Vlasov ◽  
Dmitry Teytelbaum

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.


2021 ◽  
Author(s):  
Andrey Alexandrovich Rebrikov ◽  
Anton Anatolyevich Koschenkov ◽  
Anastasiya Gennadievna Rakina ◽  
Igor Dmitrievich Kortunov ◽  
Nikita Vladimirovich Koshelev ◽  
...  

Abstract Currently, production and exploration drilling has entered a stage of development where one of the highest priority goals is to reduce the time for well construction with new technologies and innovations. One of the key components in this aspect is the utilizing of the latest achievements in the design and manufacture of rock cutting tools – drill bits. This article presents some new ideas on methods for identifying different types of vibrations when drilling with PDC bits using a system of sensors installed directly into the bit itself. In the oil and gas fields of Eastern Siberia, one of the main reasons for ineffective drilling with PDC bits are vibrations, which lead to premature wear of the cutting structure of the bit and the achievement of low ROPs in the dolomite and dolerite intervals. For efficient drilling of wells of various trajectories with a bottom hole assembly (BHA), including a downhole motor (PDM) and a PDC bit, special attention is paid to control of the bit by limiting the depth of cut, as well as the level of vibrations that occur during drilling process. Often, the existing complex of surface and BHA equipment fails to identify vibrations that occur directly on the bit, as well as to establish the true cause of their occurrence. Therefore, as an innovative solution to this problem, a system of sensors installed directly into the bit itself is proposed. The use of such a system makes it possible to determine the drilling parameters, differentiated depending on the lithological properties of rocks, leading to an increase in vibration impact. Together with the Operators, tests have been successfully carried out, which have proven the effectiveness of the application of this technology. The data obtained during the field tests made it possible to determine the type and source of vibration very accurately during drilling. In turn, this made it possible to precisely adjust the drilling parameters according to the drilled rocks, to draw up a detailed road map of effective drilling in a specific interval. Correction of drilling parameters based on the analysis of data obtained from sensors installed in the bit made it possible to reduce the resulting wear of the PDC bit cutting structure and, if necessary, make changes to the bit design to improve the technical and economic indicators. Thus, the use of a system of sensors for measuring the drilling parameters in a bit ensured the dynamic stability of the entire BHA at the bottomhole when drilling in rocks of different hardness, significantly reduced the wear of the drilling tools and qualitatively improved the drilling performance.


Author(s):  
A.N. Dmitrievsky ◽  
◽  
N.A. Eremin ◽  
E.A. Safarova ◽  
D.S. Filippova ◽  
...  

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.


2021 ◽  
Author(s):  
Chao Han ◽  
Zhichuan Guan ◽  
Yuqiang Xu ◽  
Huaigang Hu ◽  
Desong Wu

Abstract Blowout is one of the most serious accidents in the drilling process of hydrogen sulfide (H2S) oil and gas wells, often accompanied by the leakage of H2S and other toxic gases, which easily causes casualties and huge economic and environmental losses. Therefore, this article uses DEMATEL and ISM hybrid algorithms to establish a blowout accident-causing network model for oil and gas wells with H2S content, thus strengthening the risk management. In this model, firstly, the general causative factors of blowout accidents are extracted by accident statistics. Secondly, expert knowledge is adopted to determine the correlation matrix among factors. Thirdly, based on the DEMATEL algorithm, the degree of the relationship among the factors is analyzed. The importance degree (centrality) of each factor and its status as well as role (causality) in the accident-causing system are given. Finally, the ISM algorithm is used to classify the factors and establish an accident-causing network diagram with hierarchical relationship. The proposed model has been applied in a gas field containing H2S in East Sichuan, China. The results show that causative factors of blowout accidents can be divided into cause group and effect group according to the influence relationship among them. The cause group implies the meaning of the causative factors, and the effect group denotes the meaning of the causative factors. Hence, it would be necessary to control and pay great attention to the cause group factors beforehand. The key causative factors of blowout accidents are geological exploration technology, safety monitoring facilities and on-site safety culture, which belong to the cause group and are at the basic level of the accident-causing network diagram. This model has provided effective decision-making guidance for HSE work in gas field and reduced the incidence of blowout accidents. This model uses a combination of qualitative and quantitative methods to analyze the causes of blowout accidents, not only considering the relationships between factors and accidents, but also considering the relationships between factors and factors. As a result, it provides decision-making basis for the prevention and control of blowout accidents in H2S oil and gas wells.


Author(s):  
V. Kurgansky

Development of carotage (retrospective years 1969-2019) at Taras Shevchenko National University of Kyiv is described. Basic achievements are shown in educational and scientific directions. Carbonate rocks methodology study problems, petrophysical models which allowed building physically well-founded dependences of "core-core", "core-geophysics", "geophysics- geophysics" type are described. Petrophysical simulation, theory of probability and mathematical statistics methods allowed the author to work out a complex system of data processing and interpretation in welllogging. Current status and tendency in dataware drilling process of the deep oil and gas wells are examined. Absolutely new ideology of operative getting of the reliable directional survey data without special logging services (telesystem in the process of drilling, autonomous inclinometer and other) is proposed.


Georesursy ◽  
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 ◽  
...  

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.


Author(s):  
Miel Hofmann ◽  
◽  
Sudad Al-Obaidi ◽  
I. Kamensky ◽  

As a result of flooding and accumulations of liquid at the bottomholes, the operating conditions of gas wells become complicated, so that they end up self-squeezing and losing of gas production. A method is proposed for determining the technological parameters of operation of the gas wells with the purpose of removing liquid from the bottom of the wells. Data from the gas dynamics and special studies were used to develop this method, which has been tested on one of the oil and gas condensate fields. It offers the possibility to increase the accuracy of the information provided by the fund and to ensure that the production wells are operated as efficiently as possible with the use of this method. In the case of liquid accumulation in the well that is insignificant, or when water is present in the well, the technique is beneficial in that it allows determining the technological parameters of well operation and ensuring the removal of the liquid from the bottom of the well.


2021 ◽  
Author(s):  
Hofmann M ◽  
Sudad H Al-Obaidi ◽  
Kamensky IP

As a result of flooding and accumulations of liquid at the bottomholes, the operating conditions of gas wells become complicated, so that they end up selfsqueezing and losing of gas production.A method is proposed for determining the technological parameters of operation of the gas wells with the purpose of removing liquid from the bottom of the wells. Data from the gas dynamics and special studies were used to develop this method, which has been tested on one of the oil and gas condensate fields. It offers the possibility to increase the accuracy of the information provided by the fund and to ensure that the production wells are operated as efficiently as possible with the use of this method. In the case of liquid accumulation in the well that is insignificant, or when water is present in the well, the technique is beneficial in that it allows determining the technological parameters of well operation and ensuring the removal of the liquid from the bottom of the well.


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