Classification of modern non-destructive control methods. Possibility of the equipment diagnosing used in the oil and gas industry

Author(s):  
A.E. Nizhnik ◽  
◽  
A.V. Polyakov ◽  
V.V. Dubov ◽  
M.G. Prikhodko ◽  
...  
Author(s):  
Sherif Fakher ◽  
Abdelaziz Khlaifat ◽  
M. Enamul Hossain ◽  
Hashim Nameer

AbstractIn many oil reservoirs worldwide, the downhole pressure does not have the ability to lift the produced fluids to the surface. In order to produce these fluids, pumps are used to artificially lift the fluids; this method is referred to as artificial lift. More than seventy percent of all currently producing oil wells are being produced by artificial lift methods. One of the most applied artificial lift methods is sucker rod pump. Sucker rod pumps are considered a well-established technology in the oil and gas industry and thus are easy to apply, very common worldwide, and low in capital and operational costs. Many advancements in technology have been applied to improve sucker rod pumps performance, applicability range, and diagnostics. With these advancements, it is important to be able to constantly provide an updated review and guide to the utilization of the sucker rod pumps. This research provides an updated comprehensive review of sucker rod pumps components, diagnostics methods, mathematical models, and common failures experienced in the field and how to prevent and mitigate these failures. Based on the review conducted, a new classification of all the methods that can fall under the sucker rod pump technology based on newly introduced sucker rod pump methods in the industry has been introduced. Several field cases studies from wells worldwide are also discussed in this research to highlight some of the main features of sucker rod pumps. Finally, the advantages and limitations of sucker rod pumps are mentioned based on the updated review. The findings of this study can help increase the understanding of the different sucker rod pumps and provide a holistic view of the beam rod pump and its properties and modeling.


2019 ◽  
Vol 121 ◽  
pp. 01017 ◽  
Author(s):  
Dmitry Tretyakov ◽  
Alexander Belyaev ◽  
Aliya Galyautdinova ◽  
Vladimir Polyanskiy ◽  
Darya Strekalovskaya

The paper presents the results of investigation of acoustic anisotropy in industrial alloy made of steel 14HGNDC after hydrogen-induced cracking (HIC) tests according to the standard NACE TM0284-2003. It was found that location and parameters of corrosion cracks with size about 20 microns can be determined by distribution and value of acoustic anisotropy. A quantitative relationship between value of acoustic anisotropy and size of corrosion cracks in the range from 60 to 6600 microns was established. The obtained results have a great importance for improving methods of hydrogen-induced cracking tests and for non-destructive testing of brittle destruction of structures in oil and gas industry by using the acoustodamage method.


2019 ◽  
Vol 290 ◽  
pp. 10007
Author(s):  
Silvian Suditu ◽  
Monica Emanuela Stoica ◽  
Tudora Cristescu

In Romania, major focus and interest are currently expressed for the energy strategies domain. The increase of the energetic efficiency is therefore a main concern for the authorities. In the current paper the main factors which are leading to the increase of this energetic efficiency are highlighted. These are: CHP (Combined Heat Power), combined cycles, the use of RER (reusable energy resources). The article also contains a classification of the RES (secondary energy resources) as function of the thermodynamic agent nature and/or its thermodynamic state. The theory and concepts are strengthened with relevant examples which have direct applicability in the oil and gas industry.


2021 ◽  
Vol 7 (2) ◽  
pp. 422-427
Author(s):  
Danil Petrovitch Egorov

The article is devoted to the qualitative assessment of the state of the oil and gas industry in the Russian Federation based on the context of administrative-territorial units. It was realized that the data provided by different sources differs due to the variation in the calculation methods used, and the lack of detailed regional reports from foreign agencies shows the novelty of the research. In the current research the projection of administrative borders on the territory of oil and gas-geological zoning is used. To determine the degree of the dependence of regional economies from the oil and gas industry, current data about the state of the mineral resource base in the subjects of the Russian Federation were compared with the geography of the location of processing enterprises. On the basis of the obtained materials, the classification of oil and gas-bearing territories is carried out.


2021 ◽  
Vol 11 (1) ◽  
pp. 48-54
Author(s):  
The Man Nguyen ◽  
Duc Vinh Vu

: In the oil and gas Industry, insulation materials can be used widely for piping system, tank and vessel in either low or high temperature applications. CUI can cause equipment degradation, fluid leak, which lead to explosion or environmental pollution and the cost will very expensive. Therefore, CUI need to be detected early to prevent damage. Through experiment, Center for Non-Destructive Evaluation (NDE) studied on establishing and appliying 4 NDT procedures for CUI examination on typical petroleum piping using in Vietnam. A discussion is presented below


2021 ◽  
Vol 63 (1) ◽  
pp. 55-61
Author(s):  
Lucas Kling e Silva ◽  
Gustavo Almeida ◽  
Creison Nunes ◽  
Gabriela Ribeiro Pereira ◽  
Daniel Kadoke ◽  
...  

Abstract High quality tubular products are essential to the oil and gas industry. Quality control during their production focuses on the non-destructive detection of surface defects. The structured light technique is a candidate for the challenge to detect, monitor and evaluate such defects in real-time. In the present study the automatic processing of structured light measurements is performed and validated. The algorithm for the automatic analysis of inspection data has an advantage over current data evaluation methods based on individual assessments of operators.


Author(s):  
M. V. Shavranskyi ◽  
A. V. Kuchmystenko

The paper is devoted to increasing the accuracy of the classification of objects on optical images by developing a structure, model and method of teaching the combined neural network and creating on its basis an intelligent image recognition system for tasks of the oil and gas industry - diagnostics, forecasting of emergency situations of technological objects.


2019 ◽  
Vol 8 (3) ◽  
pp. 7645-7649 ◽  

Corrosion is a prevalent issue in the oil and gas industry. Usually, pipelines made of Iron are used for oil and gas transportation. The pipelines are large and distributed over big fields above the ground, underground and even underwater. Corrosion gets developed because of environmental variables such as temperature, humidity and acidic nature of the liquids. There are different techniques for detecting and monitoring corrosion development, both destructive and non-destructive. Visual inspection is a common technique of surface corrosion analysis, but manual inspection is extremely dependent on the inspecting person’s abilities and expertise. The findings of the manual inspection are qualitative and may be biased, may result into the accidents because of incorrect analysis. Corrosion must be accurately detected in early phases to prevent unwanted accidents. This paper will present a computer vision-based approach in combination with deep learning for corrosion classification as perISO-8501 standard. The findings of the assessment are unbiased and in a fair acceptable range similar to the outcomes of the visual inspection


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