The Use of a Sensor Modules System for Measuring Drilling Parameters in a Bit, Significantly Reduces the Construction Time of Wells in Eastern Siberia

2021 ◽  
Author(s):  
Andrey Alexandrovich Rebrikov ◽  
Anton Anatolyevich Koschenkov ◽  
Anastasiya Gennadievna Rakina ◽  
Igor Dmitrievich Kortunov ◽  
Nikita Vladimirovich Koshelev ◽  
...  
Keyword(s):  
Oil And Gas ◽  
New Technologies ◽  
Field Tests ◽  
Depth Of Cut ◽  
Drilling Process ◽  
Eastern Siberia ◽  
Construction Time ◽  
Stage Of Development ◽  
Drilling Parameters ◽  
Pdc Bit

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.

Mathematical Modeling of PDC Bit Drilling Process Based on a Single-Cutter Mechanics

1993 ◽  
Vol 115 (4) ◽  
pp. 247-256 ◽  
Author(s):  
A. K. Wojtanowicz ◽  
E. Kuru
Keyword(s):  
Polycrystalline Diamond ◽  
Rock Properties ◽  
Drilling Process ◽  
Drilling Parameters ◽  
Pdc Bit ◽  
Analytical Development ◽  
Assumed Similarity ◽  
Balance Of Forces ◽  
Bit Life ◽  
Polycrystalline Diamond Compact

An analytical development of a new mechanistic drilling model for polycrystalline diamond compact (PDC) bits is presented. The derivation accounts for static balance of forces acting on a single PDC cutter and is based on assumed similarity between bit and cutter. The model is fully explicit with physical meanings given to all constants and functions. Three equations constitute the mathematical model: torque, drilling rate, and bit life. The equations comprise cutter’s geometry, rock properties drilling parameters, and four empirical constants. The constants are used to match the model to a PDC drilling process. Also presented are qualitative and predictive verifications of the model. Qualitative verification shows that the model’s response to drilling process variables is similar to the behavior of full-size PDC bits. However, accuracy of the model’s predictions of PDC bit performance is limited primarily by imprecision of bit-dull evaluation. The verification study is based upon the reported laboratory drilling and field drilling tests as well as field data collected by the authors.

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
Keyword(s):  
Mobile Communications ◽  
Oil And Gas ◽  
Communication Channels ◽  
Software Tool ◽  
Remote Access ◽  
Telemetry System ◽  
Drilling Process ◽  
Technological Parameters ◽  
Gas Wells ◽  
Drilling Parameters

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.

Geochemical Monitoring of Formation Fluids for Reservoir Management Considering Complicating Factors in Mature Oilfields

2021 ◽  
Author(s):  
Mariya Sergeevna Shipaeva ◽  
Danis Karlovich Nurgaliev ◽  
Artem Aleksandrivich Zaikin ◽  
Vladislav Anatolevich Sudakov ◽  
Artur Albertovich Shakirov ◽  
...  
Keyword(s):  
Oil Recovery ◽  
Oil And Gas ◽  
New Technologies ◽  
Produced Water ◽  
Point Of View ◽  
Geochemical Monitoring ◽  
Digital Revolution ◽  
Stage Of Development ◽  
Modern Development ◽  
Geochemical Studies

Abstract At the present stage of the hydrocarbon production process, most of the unique and largest fields in the world are at a late stage of development. Despite the active development and policy of a decarbonised economy, the demand for liquid and gaseous hydrocarbons remains high, while of inevitably growing the number of mature fields. The Volga-Ural oil and gas province today is an old oil and gas producing region, most of the fields have already entered the final stage of development. However, through the introduction and development of new technologies for oil extraction, monitoring of production and localization of reserves, the life of the fields can be extended. One of these technologies is geochemical monitoring of well production. Its goal is to optimize the development of mature fields on the basis of promptly obtained information about the state of the wells using geochemical studies of the formation fluid, allowing timely implementation of the necessary measures. Geochemical studies allow identifying the source of fluid entering the well, determining a violation in the wellbore structure, checking the tightness of downhole equipment for separate operation, and performing an area analysis of the area development efficiency. This type of research is relevant both in giant fields with a large stock of production wells, often characterized from a geological point of view by multilayer structure, with technological complexity, packing, wear of equipment and strings, in some cases the impossibility of running gauge for research, and in fields with low depletion. The possibilities of geochemistry for solving local operational problems in wells are shown. Several hydrogeological complexes have been studied, the change in the properties of the produced water during the development process is described. The concepts of the geochemical conditions in the hydrocarbon deposits that existed earlier are changing due to the development of these objects as a dynamic system, continuous injection of different types of water into the reservoir, the use of enhanced oil recovery methods and other technogenic impact associated with the development of reserves. The digital revolution and the modern development of the industry marked the beginning of the creation of the Digital Atlas of Groundwater, the development of specialized algorithms that allow processing large amounts of data.

scholarly journals Research Risk Factors in Monitoring Well Drilling—A Case Study Using Machine Learning Methods

Symmetry ◽  
2021 ◽  
Vol 13 (7) ◽  
pp. 1293
Author(s):  
Shamil Islamov ◽  
Alexey Grigoriev ◽  
Ilia Beloglazov ◽  
Sergey Savchenkov ◽  
Ove Tobias Gudmestad
Keyword(s):  
Machine Learning ◽  
Anomaly Detection ◽  
Oil And Gas ◽  
New Technologies ◽  
Learning Algorithms ◽  
Gas Production ◽  
Machine Learning Algorithms ◽  
Gradient Boosting ◽  
Drilling Process ◽  
Well Drilling

This article takes an approach to creating a machine learning model for the oil and gas industry. This task is dedicated to the most up-to-date issues of machine learning and artificial intelligence. One of the goals of this research was to build a model to predict the possible risks arising in the process of drilling wells. Drilling of wells for oil and gas production is a highly complex and expensive part of reservoir development. Thus, together with injury prevention, there is a goal to save cost expenditures on downtime and repair of drilling equipment. Nowadays, companies have begun to look for ways to improve the efficiency of drilling and minimize non-production time with the help of new technologies. To support decisions in a narrow time frame, it is valuable to have an early warning system. Such a decision support system will help an engineer to intervene in the drilling process and prevent high expenses of unproductive time and equipment repair due to a problem. This work describes a comparison of machine learning algorithms for anomaly detection during well drilling. In particular, machine learning algorithms will make it possible to make decisions when determining the geometry of the grid of wells—the nature of the relative position of production and injection wells at the production facility. Development systems are most often subdivided into the following: placement of wells along a symmetric grid, and placement of wells along a non-symmetric grid (mainly in rows). The tested models classify drilling problems based on historical data from previously drilled wells. To validate anomaly detection algorithms, we used historical logs of drilling problems for 67 wells at a large brownfield in Siberia, Russia. Wells with problems were selected and analyzed. It should be noted that out of the 67 wells, 20 wells were drilled without expenses for unproductive time. The experiential results illustrate that a model based on gradient boosting can classify the complications in the drilling process better than other models.

scholarly journals Risk Factors Evaluation for Monitoring of Well Drilling

2021 ◽  
Author(s):  
Shamil Islamov ◽  
Alexey Grigoriev ◽  
Ilya Beloglazov ◽  
Sergey Savchenkov ◽  
Ove Tobias Gudmestad
Keyword(s):  
Anomaly Detection ◽  
Oil And Gas ◽  
New Technologies ◽  
Warning System ◽  
Time Frame ◽  
Gas Production ◽  
Machine Learning Algorithms ◽  
Gradient Boosting ◽  
Drilling Process ◽  
Well Drilling

Drilling of wells for oil and gas production is a highly complex and expensive part of reservoir development. Thus, together with injury prevention, there is a goal to save cost expenditures on downtime and repair of drilling equipment. Nowadays companies have begun to look for ways to improve the efficiency of drilling and minimize non-production time with the help of new technologies. To support decisions in a narrow time frame, it is valuable to have an early warning system. Such a decision support system will help an engineer to intervene in the drilling process and prevent high expenses of unproductive time and equipment repair due to a problem. This work is describing a comparison of machine learning algorithms for anomaly detection during well drilling. Tested models classify drilling problems based on historical data from previously drilled wells. To validate anomaly detection algorithms, we use historical logs of drilling problems for 67 wells at a large brownfield in Siberia, Russia. Wells with problems were selected and analyzed. It should be noted that out of the 67 wells, 20 wells were drilled without expenses for unproductive time. Experiential results illustrated that a model based on gradient boosting can classify the complications in the drilling process best of all.

scholarly journals REGIONAL ASPECTS OF INNOVATIVE DEVELOPMENT OF OIL AND GAS PRODUCING REGION (ON THE EXAMPLE OF THE KHANTY-MANSI AUTONOMOUS DISTRICT - YUGRA)

2018 ◽  
pp. 89-97
Author(s):  
Tatyana Nikolaevna Bessonova
Keyword(s):  
Oil And Gas ◽  
New Technologies ◽  
Innovation System ◽  
Innovation Activity ◽  
Innovative Development ◽  
Regional Innovation ◽  
Autonomous District ◽  
Stage Of Development ◽  
Scientific Potential ◽  
Khanty Mansi Autonomous

The article presents the review of the basic ratings of innovative development of Russian regions. The role and position of Khanty-Mansi Autonomous District - Yugra in the ratings of innovative development are determined. The main indicators describing innovative activity in the entity have been analyzed. The core of the scientific potential of the region has been studied. Trends and peculiarities of regional innovation processes are determined. The innovative infrastructure of Khanty-Mansi Autonomous District - Yugra and the features of its territorial location are studied. The analysis of innovative development of the territory is carried out taking into the consideration factors of innovation activity resources and results. The thesis on the predominantly “imitative nature” of the innovation system at the regional level is confirmed. The necessity of using two directions of innovative development for Khanty-Mansi Autonomous District - Yugra is justified. The possibility of using the diversity factor for the present stage of development of medium-sized deposits is revealed. It is suggested to actively increase the number of entities of the innovative regional process. The need to use own territorial scientific and educational resources, as well as innovations from other regions has been identified. The necessity to create institutional conditions stimulating small and medium business to develop deposits of hard-to-recover hydrocarbon resources is justified. Opportunities and prospects for the formation of regional innovation clusters in Khanty-Mansi Autonomous District - Yugra have been analyzed. Experimental polygons focused on the development of new technologies taking into account the specific features of deposits of specific regions are considered as an instrument for launching a scientific and resource multiplier in the oil and gas sector. The priorities of innovative development for Khanty-Mansi Autonomous District - Yugra are proposed.

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 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.

Financial and Economic Support of Innovation Processes in the Russian Fuel and Energy Complex

2019 ◽  
Vol 12 (3) ◽  
pp. 77-85
Author(s):  
L. D. Kapranova ◽  
T. V. Pogodina
Keyword(s):  
Oil Recovery ◽  
Large Scale ◽  
Oil And Gas ◽  
New Technologies ◽  
Innovative Development ◽  
Oil Reserves ◽  
Energy Complex ◽  
Innovation Activities ◽  
Substantial Investment ◽  
The Government

The subject of the research is the current state of the fuel and energy complex (FEC) that ensures generation of a significant part of the budget and the innovative development of the economy.The purpose of the research was to establish priority directions for the development of the FEC sectors based on a comprehensive analysis of their innovative and investment activities. The dynamics of investment in the fuel and energy sector are considered. It is noted that large-scale modernization of the fuel and energy complex requires substantial investment and support from the government. The results of the government programs of corporate innovative development are analyzed. The results of the research identified innovative development priorities in the power, oil, gas and coal sectors of the fuel and energy complex. The most promising areas of innovative development in the oil and gas sector are the technologies of enhanced oil recovery; the development of hard-to-recover oil reserves; the production of liquefied natural gas and its transportation. In the power sector, the prospective areas are activities aimed at improving the performance reliability of the national energy systems and the introduction of digital technologies. Based on the research findings, it is concluded that the innovation activities in the fuel and energy complex primarily include the development of new technologies, modernization of the FEC technical base; adoption of state-of-the-art methods of coal mining and oil recovery; creating favorable economic conditions for industrial extraction of hard-to-recover reserves; transition to carbon-free fuel sources and energy carriers that can reduce energy consumption and cost as well as reducing the negative FEC impact on the environment.

ASSESSMENT OF OIL WELL PRODUCTIVITY IN LOW-PERMEABILITY RESERVOIRS IN THE FIELDS OF EASTERN SIBERIA

2017 ◽  
pp. 30-36
Author(s):  
R. V. Urvantsev ◽  
S. E. Cheban
Keyword(s):  
Oil Recovery ◽  
Large Scale ◽  
Oil And Gas ◽  
Oil Extraction ◽  
Low Permeability ◽  
Oil Well ◽  
Eastern Siberia ◽  
Development Costs ◽  
Traditional Fields ◽  
Low Permeability Reservoirs

The 21st century witnessed the development of the oil extraction industry in Russia due to the intensifica- tion of its production at the existing traditional fields of Western Siberia, the Volga region and other oil-extracting regions, and due discovering new oil and gas provinces. At that time the path to the development of fields in Eastern Siberia was already paved. The large-scale discoveries of a number of fields made here in the 70s-80s of the 20th century are only being developed now. The process of development itself is rather slow in view of a number of reasons. Create a problem of high cost value of oil extraction in the region. One of the major tasks is obtaining the maximum oil recovery factor while reducing the development costs. The carbonate layer lying within the Katangsky suite is low-permeability, and its inventories are categorised as hard to recover. Now, the object is at a stage of trial development,which foregrounds researches on selecting the effective methods of oil extraction.

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