An Integrated Modeling Approach to Estimate the Shut-in Wellhead Pressure for Well Integrity Applications – Case Study

2021 ◽  
Author(s):  
Mohamed Ibrahim Mohamed ◽  
Ahmed Mahmoud El-Menoufi ◽  
Eman Abed Ezz El-Regal ◽  
Abd Allah Moustafa Hegazy ◽  
Khaled Mohamed Mansour ◽  
...  
Keyword(s):  
Single Phase ◽  
Oil And Gas ◽  
Multiphase Model ◽  
Liquid Droplets ◽  
Wellhead Pressure ◽  
Well Integrity ◽  
Fluid Properties ◽  
Point Pressure ◽  
Gas Expansion

Abstract Oil and gas operators must measure or calculate the shut-in wellhead pressure for well integrity applications. Some operators adopt a method that gives satisfactory results for dry gas and lean gas condensate. They are using the steady-state simulator to calculate the wellhead pressure at a very low gas rate. The friction losses become negligible, and the only losses are due to hydrostatic head simulating (to some extent) the shut-in condition. This method again can work well with oil producers with low GOR/Bubble point pressure as the production string will be nearly a single phase. The problem is that this method is inaccurate for high GOR/CGR wells because of phase redistribution and the error can be significantly high. Phase redistribution occurs After shut-in, liquid droplets will accumulate at the bottom of the well. The interface liquid/gas will move up with sometimes liquid cushion is being re-injected back in the reservoir due to gravity or gas expansion in the tubing while the gas/liquid interface will move down a little. Many factors affect the behavior, including the well deviation, fluid properties, and the productivity and the injectivity of the formation. Thus, simulating this behavior requires a dynamic multiphase simulation. As some of the fluids might return to the formation, as a result of compressibility, coupling with a numerical reservoir simulation to model the near wellbore is also necessary. In this paper, we applied a dynamic multiphase model to predict the shut-in wellhead pressure. We used an uncertainty analysis approach to investigate the effect of many parameters on the accuracy of the results. We presented all recommended calculation procedures with a guide to minimizing the uncertainty associated. We presented our approach to three actual wells with different configurations and fluid properties with a deviation of +-10% of the real measurements.

scholarly journals Insights into the Prediction of Condensate Viscosity Near the Wellbore by ELM and ANFIS-PSO Strategies

2020 ◽  
Author(s):  
Maryam Naseri
Keyword(s):  
Fuzzy Inference ◽  
Data Bank ◽  
Dew Point ◽  
Liquid Viscosity ◽  
Liquid Droplets ◽  
Inference System ◽  
Fluid Properties ◽  
Point Pressure ◽  
Dew Point Pressure ◽  
Learning Machine

Abstract By lowering the pressure beneath the dew point as the result of production in gas condensate (GC) reservoirs, liquid droplets are formed in the borehole zone. Accurate prediction of production and optimization in these reservoirs requires specific properties such as liquid viscosity. Empirical models have already developed to predict this parameter. Due to the peculiar behavior of fluids beneath the dew point pressure (DPP), the prediction of liquid viscosity associates with an error. With the development of machine learning (ML) approaches, studies on fluid properties like other sciences have entered in a new phase. In this study, extreme learning machine (ELM) and adaptive neuro-fuzzy inference system with particle swarm optimization (ANFIS-PSO) methods applied to this end. Therefore, a big data bank including reservoir and fluid properties including reservoir temperature and pressure, specific gravity (SG) of gas, API gravity, and gas to oil ratio (Rs) were used. The results showed that R-squared and RMSE for ANFIS-PSO are 0.755 and 0.15, respectively, while these values are 0.889 and 0.06 for ELM which shows that the last model has a better performance in estimating output values. Also, the range of reliable data is determined, and further, a sensitivity analysis was done, which showed that the greatest impact on the viscosity was from SG and API gravity has the least effect on it. This model can be used as a reference for calculating condensate viscosity and also by expanding the range of datasets, it can be applied in the commercial software.

Varied Responses to Human-Induced Seismicity in the City of Azle, Texas

2019 ◽  
Vol 3 (1) ◽  
pp. 1-8
Author(s):  
Sarmistha R. Majumdar
Keyword(s):  
State Government ◽  
Induced Seismicity ◽  
Oil And Gas ◽  
The United States ◽  
The State ◽  
Prior History ◽  
Small Community ◽  
Regulatory Policies ◽  
The Status

Fracking has helped to usher in an era of energy abundance in the United States. This advanced drilling procedure has helped the nation to attain the status of the largest producer of crude oil and natural gas in the world, but some of its negative externalities, such as human-induced seismicity, can no longer be ignored. The occurrence of earthquakes in communities located at proximity to disposal wells with no prior history of seismicity has shocked residents and have caused damages to properties. It has evoked individuals’ resentment against the practice of injection of fracking’s wastewater under pressure into underground disposal wells. Though the oil and gas companies have denied the existence of a link between such a practice and earthquakes and the local and state governments have delayed their responses to the unforeseen seismic events, the issue has gained in prominence among researchers, affected community residents, and the media. This case study has offered a glimpse into the varied responses of stakeholders to human-induced seismicity in a small city in the state of Texas. It is evident from this case study that although individuals’ complaints and protests from a small community may not be successful in bringing about statewide changes in regulatory policies on disposal of fracking’s wastewater, they can add to the public pressure on the state government to do something to address the problem in a state that supports fracking.

Shale Resources, Parks Conservation, and Contested Public Lands in North Dakota’s Theodore Roosevelt National Park: Is Fracking Booming?

2020 ◽  
Vol 4 (1) ◽  
pp. 1-13
Author(s):  
Miriam R. Aczel ◽  
Karen E. Makuch
Keyword(s):  
National Park ◽  
Oil And Gas ◽  
The United States ◽  
Federal Agencies ◽  
Cultural Significance ◽  
Theodore Roosevelt ◽  
Natural Beauty ◽  
Theodore Roosevelt National Park ◽  
Bakken Shale

This case study analyzes the potential impacts of weakening the National Park Service’s (NPS) “9B Regulations” enacted in 1978, which established a federal regulatory framework governing hydrocarbon rights and extraction to protect natural resources within the parks. We focus on potential risks to national parklands resulting from Executive Orders 13771—Reducing Regulation and Controlling Regulatory Costs [1]—and 13783—Promoting Energy Independence and Economic Growth [2]—and subsequent recent revisions and further deregulation. To establish context, we briefly overview the history of the United States NPS and other relevant federal agencies’ roles and responsibilities in protecting federal lands that have been set aside due to their value as areas of natural beauty or historical or cultural significance [3]. We present a case study of Theodore Roosevelt National Park (TRNP) situated within the Bakken Shale Formation—a lucrative region of oil and gas deposits—to examine potential impacts if areas of TRNP, particularly areas designated as “wilderness,” are opened to resource extraction, or if the development in other areas of the Bakken near or adjacent to the park’s boundaries expands [4]. We have chosen TRNP because of its biodiversity and rich environmental resources and location in the hydrocarbon-rich Bakken Shale. We discuss where federal agencies’ responsibility for the protection of these lands for future generations and their responsibility for oversight of mineral and petroleum resources development by private contractors have the potential for conflict.

THE URBAN MIGRANT FUTURE DESIRE: A STUDY OF REVERSE MIGRATION IN MALAYSIA

2017 ◽  
Vol 3 (2) ◽  
pp. 177
Author(s):  
Nur Huzeima Mohd Hussain ◽  
Hugh Byrd ◽  
Nur Azfahani Ahmad
Keyword(s):  
Oil And Gas ◽  
Industrial Society ◽  
Peak Oil ◽  
Population Mobility ◽  
Reverse Migration ◽  
The Past ◽  
Urban Migrants ◽  
Urban Migrant ◽  
Oil Crisis

Globalisation combined with resources of oil and gas has led to an industrial society in Malaysia.  For the past 30 years, rapid urban growth has shifted from 73% rural to 73% urban population. However, the peak oil crisis and economic issues are threatening the growth of urbanisation and influencing the trends of population mobility. This paper documents the beginnings of a reverse migration (urban-to-rural) in Malaysia.  The method adopted case study that involves questionnaires with the urban migrants to establish the desires, definite intentions and reasons for future migration. Based on this data, it predicts a trend and rate of reverse migration in Malaysia. 

scholarly journals A Framework for Project Risk Assessment in Dynamic Networks: A Case Study of Oil and Gas Megaproject Construction

IEEE Access ◽  
2021 ◽  
pp. 1-1
Author(s):  
Amir Farmahini Farahani ◽  
Kaveh Khalili-Damghani ◽  
Hosein Didehkhani ◽  
Amir Homayoun Sarfaraz ◽  
Mehdi Hajirezaie
Keyword(s):  
Risk Assessment ◽  
Oil And Gas ◽  
Dynamic Networks ◽  
Project Risk ◽  
Project Risk Assessment

Executives’ Decision Processes at the Front End of Major Projects: The Role of Context and Experience in Value Creation

2020 ◽  
pp. 875697282097722
Author(s):  
Denise Chenger ◽  
Jaana Woiceshyn
Keyword(s):  
Value Creation ◽  
Oil And Gas ◽  
Decision Processes ◽  
Strategic Decision ◽  
Decision Context ◽  
Front End ◽  
Risk Approach ◽  
Multiple Case

The front end of projects is strategically important; yet, how project concepts are identified, evaluated, and selected at the pre-project stage is poorly understood. This article reports on an inductive multiple-case study of how executives made such decisions in major upstream oil and gas projects. The findings show that in such a high-risk context, often an experienced executive makes these decisions alone and he creates value by facilitating growth. We identified three value-creating decision processes that varied by the executives’ risk approach and decision context. These processes depart from the formal project management prescriptions and the strategic decision-making literature.

scholarly journals Evaluation of Coordination of Emergency Response Team through the Social Network Analysis. Case Study: Oil and Gas Refinery

2015 ◽  
Vol 6 (1) ◽  
pp. 30-34 ◽  
Author(s):  
Iraj Mohammadfam ◽  
Susan Bastani ◽  
Mahbobeh Esaghi ◽  
Rostam Golmohamadi ◽  
Ali Saee
Keyword(s):  
Social Network ◽  
Social Network Analysis ◽  
Network Analysis ◽  
Emergency Response ◽  
Oil And Gas ◽  
The Social ◽  
Response Team ◽  
Gas Refinery

scholarly journals Modeling and Estimating Host Country Values in International Projects to Facilitate In-Country Value Creation

2021 ◽  
Vol 13 (10) ◽  
pp. 5592
Author(s):  
Ludovic-Alexandre Vidal ◽  
Franck Marle ◽  
Mathieu Dernis
Keyword(s):  
Host Country ◽  
Oil And Gas ◽  
Value Chains ◽  
Host Countries ◽  
Complex Projects ◽  
Domain Mapping ◽  
International Projects ◽  
Decision Making Processes ◽  
Industrial Needs

International companies are more and more seeking to act proactively by proposing In-Country Value (ICV) strategies to create sustainable local values in the host countries in which they carry out projects. Still, such sustainable local values are complex to identify because they are often indirectly related to their own value chains, project activities, and outcomes. There are, therefore, both theoretical and industrial needs to model and estimate sustainable values brought by complex projects in host countries, considering direct and indirect effects. In this paper, a systems thinking-based approach combined with a frequency analysis first permitted to build up a model of the sustainable values created by the project in a host country. Then, after underlining the complexity of such a model, a Domain Mapping Matrix (DMM) approach was proposed to help build a process to estimate project impacts in terms of ICV creation. An application to a case study built up with an industrial practitioner (an oil and gas company) permitted to test and validate the overall model and approach. It notably showed how such a model permitted to facilitate discussions among stakeholders and laid the foundations of ICV creation-oriented decision-making processes.

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