scholarly journals Use of Recurrent and Convolutional Neural Networks for the Problem of Long Term Condition Prediction for Equipment of an Oil-and-gas Production Enterprise

2017 ◽  
Author(s):  
Iakov S. KOROVIN
Keyword(s):  
Neural Networks ◽  
Convolutional Neural Networks ◽  
Oil And Gas ◽  
Gas Production ◽  
Oil And Gas Production ◽  
Term Condition

Establishing Operational Fatigue Limits for Short-Term Riser Operations

2015 ◽  
Author(s):  
Shankar Sundararaman ◽  
Mark Cerkovnik ◽  
Luiza Ferreira ◽  
Phil Ward
Keyword(s):  
Oil And Gas ◽  
Water Environment ◽  
Fatigue Analysis ◽  
Gas Production ◽  
Oil And Gas Production ◽  
Environmental Event ◽  
Internal Fluid ◽  
Operating Limits ◽  
Time Required

Drilling and intervention risers are widely used for oil and gas production in deep as well as shallow waters in oil fields around the world for subsea operations. The risers come in a diverse array of configurations, some of which may be challenged by fatigue if operated in high currents or seastates. The suitability of the selected riser and the operating limits are assessed by conducting strength and fatigue analysis based on design codes such as API RP 2RD, [7], API RP 16Q, [9], and API RP 17G, [10]. Typically, drilling and intervention activities are conducted for short periods of time but used repetitively. The codes are clear about the return period of the design environmental event which must be checked to insure safe operation with respect to strength; however, assessment of fatigue integrity can be more difficult to determine. The allowable fatigue operating environment should account for the ability to disengage, the time required to disengage, the damage rates in particular seastates, prior accumulation of fatigue damage, and variations in soil, tension and internal fluid weights. In this paper, an orderly method of establishing the allowable fatigue operation limits for drilling and intervention risers is presented based on Monte Carlo simulations along with a case study implementing the methodology in a shallow water environment. To illustrate this concept, a riser with wellhead and conductor system is assessed and is subjected to directional loading from several long-term seastates. The variation in effects is studied by doing fatigue analysis for different durations: 3 days, 1 week, 3 months, 1 year and 10,000 hours.

Economic woes to drive Greenland's hydrocarbons effort

2015 ◽  
Keyword(s):  
Oil And Gas ◽  
Gas Production ◽  
The Arctic ◽  
Oil And Gas Production ◽  
Content Type ◽  
New Generation ◽  
Economic Ties ◽  
Opening Up ◽  
The Eu

Subject Prospects for the hydrocarbons sector under the new government Significance After three years of GDP contraction, a new government is pursuing increased foreign investment in hydrocarbons, to boost employment and growth and to repair the budget. In the long term, Greenland is likely to emerge as an international shipping, mining and hydrocarbons centre. For now, the fall in the international oil price has seen oil exploration stop. The wish for economic development is leading a new generation of Greenlandic politicians to embark on re-integration with the EU, where a ban on seal products is the greatest obstacle to closer ties. Impacts Infrastructure and climate challenges mean that full-scale oil and gas production is at least 15-20 years away. Emerging Greenland-China economic ties may create a new alignment in the opening up of the Arctic. A relaxation of the EU seal products ban would ease negotiations on Greenland's further integration with the bloc. Enhanced EU-Greenland ties could extend the EU's role in the Arctic.

scholarly journals Improving the energy efficiency of oil production using identification and prediction of operating modes of production wells based on data analysis methods, machine learning and neural networks

2019 ◽  
Vol 124 ◽  
pp. 05031 ◽  
Author(s):  
A.M. Sagdatullin
Keyword(s):  
Neural Network ◽  
Neural Networks ◽  
Control System ◽  
Oil And Gas ◽  
Gas Production ◽  
Operating Conditions ◽  
Identification System ◽  
Oil And Gas Production ◽  
The Neural Network ◽  
And Control

Currently, there is a need to improve the systems and control of pumping equipment in the oil and gas production and oil and gas transport industries. Therefore, an adaptive neural network control system for an electric drive of a production well was developed. The task of expanding the functional capabilities of asynchronous electric motors control of the oil and gas production system using the methods of neural networks is solved. We have developed software modules of the well drive control system based on the neural network, an identification system, and a scheme to adapt the control processes to changing load parameters, that is, to dynamic load, to implement the entire system for real-time control of the highspeed process. In this paper, based on a model of an identification block that includes a multilayered neural network of direct propagation, the control of the well system was implemented. The neural network of the proposed system was trained on the basis of the error back-propagation algorithm, and the identification unit works as a forecaster of system operation modes based on the error prediction. In the initial stage of the model adaptation, some fluctuations of the torque are observed at the output of the neural network, which is associated with new operating conditions and underestimated level of learning. However, the identification object and control system is able to maintain an error at minimum values and adapt the control system to a new conditions, which confirms the reliability of the proposed scheme.

Esso Australia’s long-term contribution to the east coast gas market

2019 ◽  
Vol 59 (3) ◽  
Author(s):  
Nathan Fay
Keyword(s):  
Joint Venture ◽  
Oil And Gas ◽  
Free Market ◽  
Supply And Demand ◽  
Petroleum Industry ◽  
Gas Production ◽  
Oil And Gas Production ◽  
The Right ◽  
Gas Supply

This year marks the golden jubilee of Australia’s offshore petroleum industry after the first gas was produced from Bass Strait by Esso and BHP’s Gippsland Basin Joint Venture. For half a century our industry has been driven by technology – pioneering technical excellence and pushing the envelope in the pursuit of much needed oil and gas production. Today, the landscape in East Australia is changing and gas is at the forefront of the discussion. Declines in East Australia’s historical conventional fields have seen gas supply tighten and prices rise. There is a strong need for additional affordable and reliable gas supply. While continued improvements in technology remain a critically important enabler in developing Australia’s gas resources; global supply and demand, regulatory frameworks, and the commercial arrangements that underpin new developments are becoming more and more important. ExxonMobil Australia’s new Chairman, Nathan Fay, has a wealth of experience working with gas markets around the world. He will explain why it is so important for policymakers to establishment a stable free market environment to encourage these long-term relationships. To view the video, click the link on the right.

scholarly journals Environmental Vulnerability in Pre-Salt Oil and Gas Operations

Energies ◽  
2021 ◽  
Vol 14 (3) ◽  
pp. 732
Author(s):  
Tatiana Farane Mein ◽  
André Luiz Veiga Gimenes ◽  
Eduardo Mario Dias ◽  
Maria Lídia Rebello Pinho Dias Scoton ◽  
Miguel Edgar Morales Udaeta
Keyword(s):  
Environmental Impact ◽  
Oil And Gas ◽  
Vulnerability Index ◽  
Gas Production ◽  
Gas Extraction ◽  
Oil And Gas Production ◽  
Environmental Vulnerability ◽  
Production Stages ◽  
Oil And Gas Operations

The objective of this work is to analyze disturbances in the environment caused by anthropic activities in the oil and gas extraction sector. Methodologically, focusing on environmental vulnerability (EV), hydrocarbons (oil and gas) are considered through a qualitative and quantitative analysis of environmental impacts, including the research of Environmental Impact Studies and procedures like EIA/RIMA (institutional Environmental Impact Reports in Brazil). This study focuses on the operation and demobilization of the offshore drilling activity and the installation and operation of the Santos Basin pre-salt oil and gas production (Stages 1, 2, and 3). The criteria addressed in the EIA/RIMAs are used, focusing on those that correlate with EV and oil and gas extraction. Impacts for long-term, permanent, partially reversible, or irreversible disturbances are filtered, totaling 53 impacts (31 effective/21 potential). We concluded that the criteria and methodologies of EIAs vary between stages. At times, the variation is so drastic that the same impact can have a completely different rating from one stage to another, despite referring to the same area. This condition makes it impossible to define a single vulnerability index for the pre-salt venture. This work does not offer a concrete resolution, but exposes the EV issue and its inconsistencies.

scholarly journals Petroleum Fund Pada Pemerintahan Lokal (Study Kasus Inovasi Kebijakan “Dana Abadi Migas” di Bojonegoro)

2019 ◽  
Vol 16 (1) ◽  
pp. 127-146
Author(s):  
Ahmad Sholikin
Keyword(s):  
Natural Resources ◽  
Oil And Gas ◽  
Gas Production ◽  
Environmental Damage ◽  
Human Welfare ◽  
Oil And Gas Production ◽  
Endowment Fund ◽  
Oil And Gas Resources ◽  
District Government

The Bojonegoro District Government took the initiative to establish the Bojonegoro Petroleum and Natural Gas (Oil and Gas) Endowment Fund. The establishment of this Oil and Gas Endowment Fund aims to ensure the existence of a saving fund for future generations when oil and gas and gas in the region has run out. This idea is in line with the fact that in the long term Bojonegoro will contribute significantly to domestic oil and gas production and also the fact that Bojonegoro has succeeded in alleviating poverty, in one area that was once considered the poorest district in Java. The establishment of the Oil and Gas Endowment Fund is also based on consideration of avoiding the curse of natural resources. Reflecting on the experience of regions rich in natural resources, including oil and gas resources, where the level of human welfare and development is lower than in areas of poor natural resources. The level of social conflict is quite high, environmental damage is quite severe, Dutch desiase, excessive spending (over spending), corruption thrives and more.

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