IMPROVING FIELD PRODUCTION AND THE VALUE OF ASSETS THROUGH ENABLING REAL-TIME WORKFLOWS

2004 ◽  
Vol 44 (1) ◽  
pp. 575 ◽  
Author(s):  
B. Theuveny ◽  
J. Amedick ◽  
A. Kosmala ◽  
J.G. Flores ◽  
H. Soliman
Keyword(s):  
Real Time ◽  
Production Management ◽  
Management Practices ◽  
Oil And Gas ◽  
Selection Process ◽  
Time Frame ◽  
Oil Field ◽  
Legal Constraints ◽  
Diagnostic Applications ◽  
The Impact

Reservoir and production management practices can benefit from the use of information obtained in real-time. This paper focusses specifically on the gains obtained from the continuous monitoring of naturally flowing and artificially lifted wells.The deployment of real-time production workflows is an important enabler to improve the value of oil and gas assets. The impact is seen in areas such as:the improvement of production (well productivity), through the reduction of deferred production and increased productivity;reduction of operating costs (OPEX);reduction of repair time;reduction of capital expenses (CAPEX);capture of best (and worst) practices;increased operational flexibility; andimproved efficiency of workforce.Field examples over a range of applications covering both artificially lifted wells to naturally flowing wells demonstrate the value of real-time monitoring and relevant-time surveillance and diagnostic applications. Examples of permanent monitoring systems installed at subsurface and/or at surface illustrate how operators can optimise the value of new and existing assets. Although much of the technology has been available for years, deployment in actual field operation is still a challenge. Several best practices are suggested to improve implementation success. The human component in this oil field revolution is important and cannot be under-estimated. The success of real-time enabled workflows can only occur if the workforce fully cooperates and buys-in to the solution. The inertia of legacy practices can derail the change management process if not considered early in the implementation.This paper discusses several industry approaches to product and service delivery of real-time enabled production workflows, and the various possible implementations. The commercial and physical implementations of these production workflows can range from remotely hosted solutions with no footprint on the operator premises, to fully integrated solution using and integrating legacy system of the oil and gas company. A segmentation of these approaches facilitates the selection process depending on parameters such as the size of the asset, legal constraints, availability of expertise. The value of the benefits of each of these approaches also provides a better understanding of the probable gains that may be achieved in the short to long-term time frame.

Study the effect of casting temperature on details from thermo-plastic materials

2020 ◽  
pp. 42-45
Author(s):  
J.A. Kerimov ◽  
Keyword(s):  
Oil And Gas ◽  
Oil And Gas Industry ◽  
Mold Temperature ◽  
Quality Parameters ◽  
Oil Field ◽  
Casting Temperature ◽  
Gas Industry ◽  
Field Equipment ◽  
Wide Range ◽  
The Impact

The implementation of plastic details in various constructions enables to reduce the prime cost and labor intensity of machine and device manufacturing, decrease the weight of design and improve their quality and reliability at the same time. The studies were carried out with the aim of labor productivity increase and substitution of colored and black metals with plastic masses. For this purpose, the details with certain characteristics were selected for further implementation of developed technological process in oil-gas industry. The paper investigates the impact of cylinder and compression mold temperature on the quality parameters (shrinkage and hardness) of plastic details in oil-field equipment. The accessible boundaries of quality indicators of the details operated in the equipment of exploration, drilling and exploitation of oil and gas industry are studied in a wide range of mode parameters. The mathematic dependences between quality parameters (shrinkage and hardness) of the details on casting temperature are specified.

ANALISA PENCEMARAN LAUT OLEH PTT EXPLORATION AND PRODUCTION (PTTEP) AUSTRALASIA TERHADAP LAUT TIMOR INDONESIA

2020 ◽  
Vol 4 (2) ◽  
pp. 127
Author(s):  
Paulin Yosephin Marini ◽  
Sherlly Monica Bonsapia ◽  
Johni R.V. Korwa
Keyword(s):  
Oil Spill ◽  
Oil And Gas ◽  
Oil Spills ◽  
Marine Ecosystem ◽  
Oil Field ◽  
Australian Government ◽  
Compensation Mechanisms ◽  
Exploration And Production ◽  
Data Collection Technique ◽  
The Impact

<p><em>This study aims to analyze a blowout from an oil and gas leak owned by PTT Exploration and Production (PTTEP) Australasia in the Montara oil field in the Indonesian Timor Sea, and how to resolve disputes between Australia and Indonesia. A qualitative approach was used in this study, whilst the data collection technique was through library research. The theory of state responsibility, the concept of human security, and the concept of international maritime law are used to analyze disputes between Indonesia and Australia. The study found that the Montara oil spill had not only damaged the marine ecosystem but also polluted Indonesian waters. It also found that although the Australian government had formed a special commission to resolve cases and even used dispersant, it had not satisfied all parties. Several points are summarized. First, the Montara oil spill in Australia is a transnational study because the impact has crossed national borders. Secondly, UNCLOS has a weakness in the settlement of the Montara case because the Convention only provides a description related to ‘Responsibility of Each Country’ and does not specifically arrange material compensation mechanisms to countries that cause sea pollution. Third, the Montara oil spill has caused huge losses for Indonesian seaweed farmers, especially 13 districts in NTT. The recommendations are that the Indonesian government along with the Montara Victim Peoples’ Advocacy Team should continue to follow up the case of oil spills from the Montara platform and continue to fight for compensation to the Australian government and the PTTEP as the responsible party.</em></p>

Technology Focus: Offshore Drilling and Completion (October 2021)

2021 ◽  
Vol 73 (10) ◽  
pp. 45-45
Author(s):  
Martin Rylance
Keyword(s):  
Machine Learning ◽  
Real Time ◽  
Oil And Gas ◽  
Hybrid Approach ◽  
Data Communication ◽  
Oil And Gas Industry ◽  
Oil Field ◽  
Real Time Processing ◽  
National University ◽  
Seoul National University

Communication and prediction are symmetrical. Communication, in effect, is prediction about what has happened. And prediction is communication about what is going to happen. Few industries contain as many phases, steps, and levels of interface between the start and end product as the oil and gas industry—field, office, offshore, plant, subsea, downhole, not to mention the disciplinary, functional, managerial, logistics handovers, and boundaries that exist. It therefore is hardly surprising that communication, in all its varied forms, is at the very heart of our business. The papers selected this month demonstrate how improved communication can deliver the prediction required for a variety of reasons, including safety, efficiency, and informational purposes. The application of new and exciting ways of working, partially accelerated by recent events, is leading to breakthrough improvements on all levels. Real-time processing, improved visualization, and predictive and machine-learning methods, as well as improvements in all forms of data communication, are all contributing to incremental enhancements across the board. This month, I encourage the reader to review the selected articles and determine where and how the communication and prediction are occurring and what they are delivering. Then perhaps consider performing an exercise wherein your own day-to-day roles—your own areas of communication, interfacing, and cooperation—are reviewed to see what enhancements you can make as an individual. You may be pleasantly surprised that some simple tweaks to your communication style, frequency, and format can deliver quick wins. In an era of remote working for many individuals, it is an exercise that has some value. Recommended additional reading at OnePetro: www.onepetro.org. OTC 30184 - Augmented Machine-Learning Approach of Rate-of-Penetration Prediction for North Sea Oil Field by Youngjun Hong, Seoul National University, et al. OTC 31278 - A Digital Twin for Real-Time Drilling Hydraulics Simulation Using a Hybrid Approach of Physics and Machine Learning by Prasanna Amur Varadarajan, Schlumberger, et al. OTC 31092 - Integrated Underreamer Technology With Real-Time Communication Helped Eliminate Rathole in Exploratory Operation Offshore Nigeria by Raphael Chidiogo Ozioko, Baker Hughes, et al.

Digital Oil Field; The NPDC Experience

2021 ◽  
Author(s):  
Henry Ijomanta ◽  
Lukman Lawal ◽  
Onyekachi Ike ◽  
Raymond Olugbade ◽  
Fanen Gbuku ◽  
...  
Keyword(s):  
Real Time ◽  
Oil And Gas ◽  
Data Gathering ◽  
Oil And Gas Industry ◽  
Oil Field ◽  
Battery Life ◽  
Gas Industry ◽  
Field Management ◽  
Digital Oilfield ◽  
Data Analytic

Abstract This paper presents an overview of the implementation of a Digital Oilfield (DOF) system for the real-time management of the Oredo field in OML 111. The Oredo field is predominantly a retrograde condensate field with a few relatively small oil reservoirs. The field operating philosophy involves the dual objective of maximizing condensate production and meeting the daily contractual gas quantities which requires wells to be controlled and routed such that the dual objectives are met. An Integrated Asset Model (IAM) (or an Integrated Production System Model) was built with the objective of providing a mathematical basis for meeting the field's objective. The IAM, combined with a Model Management and version control tool, a workflow orchestration and automation engine, A robust data-management module, an advanced visualization and collaboration environment and an analytics library and engine created the Oredo Digital Oil Field (DOF). The Digital Oilfield is a real-time digital representation of a field on a computer which replicates the behavior of the field. This virtual field gives the engineer all the information required to make quick, sound and rational field management decisions with models, workflows, and intelligently filtered data within a multi-disciplinary organization of diverse capabilities and engineering skill sets. The creation of the DOF involved 4 major steps; DATA GATHERING considered as the most critical in such engineering projects as it helps to set the limits of what the model can achieve and cut expectations. ENGINEERING MODEL REVIEW, UPDATE AND BENCHMARKING; Majorly involved engineering models review and update, real-time data historian deployment etc. SYSTEM PRECONFIGURATION AND DEPLOYMENT; Developed the DOF system architecture and the engineering workflow setup. POST DEPLOYMENT REVIEW AND UPDATE; Currently ongoing till date, this involves after action reviews, updates and resolution of challenges of the DOF, capability development by the operator and optimizing the system for improved performance. The DOF system in the Oredo field has made it possible to integrate, automate and streamline the execution of field management tasks and has significantly reduced the decision-making turnaround time. Operational and field management decisions can now be made within minutes rather than weeks or months. The gains and benefits cuts across the entire production value chain from improved operational safety to operational efficiency and cost savings, real-time production surveillance, optimized production, early problem detection, improved Safety, Organizational/Cross-discipline collaboration, data Centralization and Efficiency. The DOF system did not come without its peculiar challenges observed both at the planning, execution and post evaluation stages which includes selection of an appropriate Data Gathering & acquisition system, Parts interchangeability and device integration with existing field devices, high data latency due to bandwidth, signal strength etc., damage of sensors and transmitters on wellheads during operations such as slickline & WHM activities, short battery life, maintenance, and replacement frequency etc. The challenges impacted on the project schedule and cost but created great lessons learnt and improved the DOF learning curve for the company. The Oredo Digital Oil Field represents a future of the oil and gas industry in tandem with the industry 4.0 attributes of using digital technology to drive efficiency, reduce operating expenses and apply surveillance best practices which is required for the survival of the Oil and Gas industry. The advent of the 5G technology with its attendant influence on data transmission, latency and bandwidth has the potential to drive down the cost of automated data transmission and improve the performance of data gathering further increasing the efficiency of the DOF system. Improvements in digital integration technologies, computing power, cloud computing and sensing technologies will further strengthen the future of the DOF. There is need for synergy between the engineering team, IT, and instrumentation engineers to fully manage the system to avoid failures that may arise from interface management issues. Battery life status should always be monitored to ensure continuous streaming of real field data. New set of competencies which revolves around a marriage of traditional Petro-technical skills with data analytic skills is required to further maximize benefit from the DOF system. NPDC needs to groom and encourage staff to venture into these data analytic skill pools to develop knowledge-intelligence required to maximize benefit for the Oredo Digital Oil Field and transfer this knowledge to other NPDC Asset.

scholarly journals Impacts of land management on the resilience of Mediterranean dry forests to fire

2016 ◽  
Author(s):  
Matteo Jucker Riva ◽  
Gudrun Schwilch ◽  
Hanspeter Liniger ◽  
Alejandro Valdecantos
Keyword(s):  
Land Management ◽  
Management Practices ◽  
Fire Regime ◽  
Management Strategies ◽  
Time Frame ◽  
Mediterranean Forests ◽  
Before And After ◽  
History Of ◽  
Time Specific ◽  
The Impact

Wildfires have always been a part of the history of Mediterranean forests. However, forest regeneration after a wildfire is not certain. It depends on many factors, some of which may be influenced by land management activities. Failure of regeneration will cause a regime shift in the ecosystem, reducing the provision of ecosystem services and ultimately leading to desertification. How can we increase Mediterranean forests&rsquo; resilience to fire? To answer this question, we did a literature review, investigating chains of processes that allow forests to regenerate (which we label &ldquo;regeneration mechanisms&rdquo;), and assessed the impact of selected management practices documented in the WOCAT database on the regeneration mechanisms. We identified three distinct regeneration mechanisms that enable Mediterranean forests to recover, as well as the time frame before and after a fire in which they are at work, and factors that can hinder or support resilience. The three regeneration mechanisms enabling a forest to regenerate after a fire consist of regeneration (1) from a seed bank; (2) from resprouting individuals; and (3) from unburned plants that escaped the fire. Management practices were grouped into four categories: (1) fuel breaks, (2) fuel management, (3) afforestation, and (4) mulching. We assessed how and under what conditions land management modifies the ecosystem&rsquo;s resilience. The results show that land management influences resilience by interacting with resilience mechanisms before and after the fire, and not just by modifying the fire regime. Our analysis demonstrates a need for adaptive &ndash; i.e. context- and time-specific &ndash; management strategies.

scholarly journals Changing Dynamics of Talent Management: Analyzing the Impact of Business Environmental Factors

2019 ◽  
pp. 583-595
Author(s):  
Dr. Abdul Quddus Mohammed
Keyword(s):  
Environmental Factors ◽  
Organizational Performance ◽  
Management Practices ◽  
Oil And Gas ◽  
Talent Management ◽  
Critical Examination ◽  
Management Process ◽  
Cultural Changes ◽  
Talent Acquisition ◽  
The Impact

Talent management process makes sure that the organization has sufficient supply of talented employees to meet the organizational goals. However, this aspect is important for organizations especially in the wake of the ever-changing business environmental factors such as political, social and economic factors. To undertake a critical examination of the changing dynamics in the field of talent management, the following research focuses on an analysis of the impact of political, economic and socio-cultural changes on the talent management process in oil and gas companies in GCC. As such, the main objective of the research is to undertake an analysis of the practices of talent management adopted in the oil and gas sector in GCC region and analyze the changing dynamics of the Talent Management process to suggest strategies to manage talent to improve the industry performance. Despite the advanced in the human resource management field, the talent landscape in the GCC region faces challenges in the talent management process such as talent acquisition, talent retention, and talent development. The following research focuses on the use of an empirical quantitative approach towards data collection and interpretation of the obtained data. The research advanced three hypotheses, which are tested in the research. The findings of the research provide evidence that the economic, social and political factors have a significant influence on talent management practices in this region. And it is important to consider the business environmental factors in managing talent by aligning organizational strategy with talent management strategy of the company. The implantation of technology by means of Artificial intelligence, HR analytics and automation will reduce the dependency on more employees and improving the value of HR in the organization by enlightening organizational performance and productivity with few talented employees in line with dynamic business environmental factors.

Application of Advanced Data Analytics for Gas Reservoirs and Wells Management

2021 ◽  
Author(s):  
Ashwin Srinivasan ◽  
Gaurav Modi ◽  
Rahul Agrawal ◽  
Viren Kumar
Keyword(s):  
Real Time ◽  
Data Analytics ◽  
Production Management ◽  
Petroleum Industry ◽  
Oil Field ◽  
Petroleum Engineering ◽  
Multiple Sources ◽  
Opportunity Identification ◽  
Diagnostic Plots ◽  
Time Required

Abstract Objectives/Scope The amount of time and effort required to access and integrate Subsurface data from multiple sources is significant. Using Advanced Data Analytics, mainly python, an integrated subsurface dashboard titled Hybrid Integrated Visualization Environment (HIVE) was created using Spotfire to empower the integrated Exploration, Development and Well Reservoir and Facilities Management (WRFM) subsurface teams in: Professionalizing data and knowledge management to have "one" version of the truth. Data consolidation and preparation to avoid repetitive manual work & Enhancing opportunity identification to optimize production and value Methods, procedure, process The approach of subsurface data integration can be broken down into 4 major steps, namely: Step 1: Python programming was used to pre-process, restructure and create unified data frames. Use of python significantly reduces the time required to pre-process a diverse number of subsurface data sources consisting of static, dynamic reservoir models, log data, historical production & pressure data and wells & completion data to name a few. Step 2: - Standard diagnostic industry recognized diagnostic plots were automated using advanced analytic techniques in HIVE with the help of unified data frames. Step 3: HIVE was created to link various internal corporate data stores like pressure, temperature, rate data from PI System (stores real time measured data), Energy Components (EC) and Oil Field Manager (OFM) in real time. This was done to ensure that data from various petroleum engineering disciplines could now be visualized and analyzed in a structured manner to make integrated business decisions. Step 4: One of the key objectives of pursuing this initiative was to ensure that subsurface professionals in Shell Trinidad and Tobago were trained and upskilled in the use of python as well visualization tools like Spotfire and Power BI to ensure the maintenance and improvement of HIVE going forward. Results, Observations, Conclusions The development of HIVE has made it easier and more efficient to access and visualize subsurface data, which was extremely time consuming earlier while using older conventional techniques. Standard diagnostic plots and visuals were developed and are now used to drive integrated decision making, with key focus being water and sand production management from a production management perspective. Consequently, HIVE also drives enhanced integration between disciplines (Petrophysics, Petroleum Geology, Production Technology, Reservoir Engineering and Production operations) and departments (Developments, Upstream and Exploration). Novel/Additive Information The petroleum industry has started to embrace the application of advanced data analytics in our day-to-day work. A successful application of these techniques results in transforming the ways of working by increasing efficiency, transparency and integration among teams.

scholarly journals Optimizing the ultimate recovery by infill drilling using streamline simulation

2019 ◽  
Vol 42 ◽  
pp. e45293
Author(s):  
Keyvan Dailami ◽  
Hamid Reza Nasriani ◽  
Seyed Adib Sajjadi ◽  
Mohammad Rafie Rafiee ◽  
Justin Whitty ◽  
...  
Keyword(s):  
Oil And Gas ◽  
Petroleum Industry ◽  
Field Performance ◽  
Oil Field ◽  
Recovery Factor ◽  
Processing Unit ◽  
Streamline Simulation ◽  
Simulation And Optimization ◽  
Central Processing ◽  
The Impact

Even though numerical simulators that use the finite difference approach to model the oil and gas fields and to forecast the field performance are popular in the petroleum industry, they suffer from a very long central processing unit (CPU) time in the complex reservoirs with large number of grids. This issue could be resolved by streamline simulation and it could significantly decrease the runtime. This work explains the the streamline simulation concept and then a real oil field is studied using this technique, the streamline simulation is conducted by a commercial simulator, i.e., FrontSim streamline simulator and then the model was analyzed to find the optimum location of infill wells. In this work, 34 different cases were studied using Streamline simulation method and FrontSim software by considering different arrangement of infill wells. It was concluded that a significant enhancement in the ultimate recovery factor of the oil reservoir could be attained by considering different arrangement of the infill horizontal and vertical wells. It was highlighted that the ultimate recovery factor could be increased significantly, i.e., 13%. Additionally the water cut of the field could be reduced significantly. The novelty of this work is to capture the impact of both vertical and horizontal wells on the ultimate recovery enhancement simultaneously using the concept of streamline simulation and optimization of the field performance using streamline simulation concept.

scholarly journals AN ASSESSMENT OF DISTURBANCE EFFECTS ON PLANT COVER OF NUMTO NATURAL PARK (KHANTY-MANSIYSK AUTONOMOUS OKRUG - UGRA)

2020 ◽  
pp. 81-89
Author(s):  
D. V. Moskovchenko ◽  
S. P. Aref’ev ◽  
V. A. Glazunov ◽  
I. V. Filippov
Keyword(s):  
Vegetation Cover ◽  
Oil And Gas ◽  
Plant Cover ◽  
Oil Extraction ◽  
Oil Field ◽  
Nature Management ◽  
Field Development ◽  
Natural Park ◽  
Oil Deposits ◽  
The Impact

The Numto Natural Park, Khanty-Mansi Autono-mous Okrug - Yugra, Russia, has recently attracted the attention of environmental organizations due to oil extraction operations in its territory. This paper presents the study of the vegetation cover dynamics and the assessment of natural and anthropogenic disturbances of Numto’s ecosystems. Due to the development of oil deposits, more than 60 adventitious plant species arrived to the park, and the synan-thropization index reached 26.4%. Tree rings showed the predominant influence of the climatic and pyrogenic components on the growth of trees. The technogenic impact that had occurred in the 1990s gave a spasmodic increase in cedar growth in the disturbed areas in the form of abnormal hard streaks. Later on, the impact of technogenic factors on the wood growth waned. Satellite imagery helped to determine changes in the vegetation cover. From 2011 to 2018, the area of disturbed sites doubled while the length of infield roads and pipelines increased by 5.7 times. The area of burnt fire sites increased manifold; how-ever, fires occurred at a considerable distance from the oil extraction sites and were of natural origin. Currently, the disturbed ecosystems, including burnt fire sites and fire-damaged ecosystems, occupy 2.1% of the oil deposits area, and the area of pyrogenic disturbances is larger than the area of technogenic ones. Compared to the oil and gas fields in the adjacent areas, the level of disturbance in the Numto Natural Park can be considered low. Since deer pastures were not disturbed by the oil extraction operations, the traditional nature management remains possible. Further oil field development requires ongoing monitoring of the ecosystem condition.

Sign in / Sign up

Export Citation Format

Share Document