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Reservoir Engineering

03MBCNW

A.A. 2020/21

Course Language

Inglese

Course degree

Master of science-level of the Bologna process in Petroleum And Mining Engineering (Ingegneria Del Petrolio E Mineraria) - Torino

Course structure
Teaching Hours
Lezioni 100
Esercitazioni in aula 20
Teachers
Teacher Status SSD h.Les h.Ex h.Lab h.Tut Years teaching
Verga Francesca Professore Ordinario ING-IND/30 80 0 0 0 14
Teaching assistant
Espandi

Context
SSD CFU Activities Area context
ING-IND/30 12 B - Caratterizzanti Ingegneria per l'ambiente e il territorio
2020/21
The course aims at providing the fundamentals needed to investigate, characterize, model and develop a hydrocarbon reservoir. The course integrates the knowledge gained during the previous courses (especially Geophysical Prospecting, Reservoir Geology, Petroleum Geomechanics and Fluid Mechanics in Porous Media) with the analytical and numerical approaches typical of reservoir engineering so as to obtain a consistent understanding of the reservoir dynamic behavior and to define field development strategies. The course on Well logging and Well Testing is to be considered complementary to gain a complete knowledge on reservoir characterization. Furthermore, strict connections with the Well Drilling and Completion course, with the design of surface facilities (course on Petroleum Chemistry and Technology) and with economic considerations (course on Resources and Environmental Economics) are necessary when forecasting the future field performance and evaluating the effectiveness of the potential production strategies. For these reasons the reservoir engineering course is very central and has a key role in the petroleum engineering program, just like reservoir engineering would have in the industrial practice. Specific goals of the course are to provide the ability of quality assessing and interpreting ' when needed - all the input data necessary to understand the reservoir behavior and to build a reservoir dynamic model, to understand the cause-effect relationships when history matching the reservoir past performance, and to optimize the field development and production strategy. The skills gained in the Reservoir Engineering course will allow the students to cooperate at, or to be in charge of, integrated reservoir studies. Students will acquire the competences needed to efficiently communicate with experts from other disciplines who can provide scientific and technical insights or design constraints for an effective reservoir understanding and exploitation. Attitude to team working, accurate and meticulous approach to data analysis and management, and an open mindset are essential traits of this course.
The course aims at providing the fundamentals needed to investigate, characterize, model and develop hydrocarbon reservoirs. The course integrates the knowledge gained during the previous courses (especially Exploration Geophysics, Petroleum Geology, Reservoir Geomechanics and Fluid Mechanics in Porous Media) with the analytical and numerical approaches typical of reservoir engineering so as to obtain a sound understanding of the reservoir dynamic behavior and to define field development strategies. The course on Well logging and Well Testing is to be considered complementary to gain a complete knowledge on reservoir characterization. Furthermore, strict connections with the Well Drilling and Completion course, with the design of surface facilities (courses on Petroleum Technology and Risk Analysis) and with economic considerations (course on Resources and Environmental Sustainability) are necessary when forecasting the future field performance and evaluating the effectiveness of the potential production strategies. For these reasons the reservoir engineering course is very central and has a key role in the petroleum engineering program, just like reservoir engineering would have in the industrial practice. Specific goals of the course are to provide the ability of quality assessing and interpreting - when needed - all the input data necessary to understand the reservoir behavior and to build a reservoir dynamic model, to understand the cause-effect relations when history matching the reservoir past performance, and to optimize the field development and production strategy. The skills gained in the Reservoir Engineering course will allow the students to cooperate at, or to be in charge of, integrated reservoir studies. Students will acquire the competences needed to efficiently communicate with experts from other disciplines who can provide scientific and technical insights or design constraints for an effective reservoir understanding and exploitation. Attitude to team working, accurate and meticulous approach to data analysis and management, and an open mindset are essential traits of this course.
Students will acquire: - Deep knowledge of the technologies and methodologies applied for the characterization of hydrocarbon-bearing formations through reservoir geology and geophysics, laboratory data, productivity tests as well as through the analysis of historical production data. - Profound understanding of the production drives and their implications on the reservoir productivity and hydrocarbon recovery. - Good knowledge of the improved and enhanced oil recovery methods. - Ability to identify the key elements of a technical problem in reservoir engineering. Ability to understand, describe and analyze the physical phenomena occurring in a reservoir during production through the governing equations and through the use of analytical models. - Ability to handle the methods and software adopted worldwide in the oil industry for static and dynamic reservoir numerical simulation based on a good understanding the principles and assumptions of which they rely. - Ability to define the most adequate production strategies based on technical, economic and environmental indicators, also with the aid of scientific software, graphs, and other convenient tools or representations. - Ability to capture the essential messages, the methodologies and their implications from technical papers and manuals.
Students will acquire: - Deep knowledge of the technologies and methodologies applied for the characterization of hydrocarbon-bearing formations through reservoir geology and geophysics, laboratory data, productivity tests as well as through the analysis of historical production data. - Profound understanding of the production drives and their implications on reservoir productivity and hydrocarbon recovery. - Good knowledge of enhanced oil recovery methods. - Ability to identify the key elements of a technical problem in reservoir engineering. Ability to understand, describe and analyze the physical phenomena occurring in a reservoir during production through the governing equations and through the use of analytical models. - Ability to handle the methods and software adopted worldwide in the oil industry for static and dynamic reservoir numerical simulation based on a good understanding the principles and assumptions of which they rely. - Ability to define the most adequate production strategies based on technical, economic and environmental indicators, also with the aid of scientific software, graphs, and other convenient tools or representations. - Ability to capture the essential messages, the methodologies and their implications from technical papers and manuals.
Students should have a good knowledge of geophysics, geology and geomechanics to be able to truly understand the reservoir earth model, which is the basis for describing the reservoir dynamic behavior and for subsequent simulations of the production performance. It is essential that students master the concepts and the basics of rock and fluid properties and their mutual interactions, the flow equations, and the pressure analysis and interpretation techniques. Familiarity with the orders of magnitude of the most relevant quantities (fluid properties, petrophysical characteristics, fluid-rock interaction properties, hydrocarbon recovery factors) is required.
Students should have a good knowledge of geophysics, geology and geomechanics to be able to truly understand the reservoir earth model, which is the basis for describing the reservoir dynamic behavior and for subsequent simulations of the production performance. It is essential that students master the concepts and the basics of rock and fluid properties and their mutual interactions, the flow equations, and the pressure analysis and interpretation techniques. Familiarity with the orders of magnitude of the most relevant quantities (fluid properties, petrophysical characteristics, fluid-rock interaction properties, hydrocarbon recovery factors) is required.
- Material balance for oil and gas reservoirs - Productivity tests > well damage > oil well productivity > gas well deliverability - Water and gas injection > immiscible displacement > operational issues - Reservoir numerical modelling > static modelling > dynamic modelling > set-up and calibration of a reservoir model, and simulation of the reservoir dynamic behavior under different development scenarios - Impact of geomechanics on reservoir behavior - Decline curve analysis
- Material balance for oil and gas reservoirs - Productivity tests > well damage > oil well productivity > gas well deliverability - Water and gas injection > immiscible displacement > operational issues - Reservoir numerical modelling > static modelling > dynamic modelling > set-up and calibration of a reservoir model, and simulation of the reservoir dynamic behavior under different development scenarios - Impact of geomechanics on reservoir behavior - Decline curve analysis
Some of the theoretical lessons will be held with the collaboration of highly qualified technical staff from oil and/or service companies, who will give lectures on applications to real cases.
Some of the theoretical lessons might be held in collaboration with highly qualified technical staff from oil and/or service companies, who will give lectures on applications to real cases.
Exercises will include application of the methodologies presented and discussed during lectures to case studies based on synthetic and real data, with increasing degree of complexity. The software commonly adopted in the oil industry for well test analysis and for reservoir simulation will be used. During the course the complete workflow of characterization, history match and production forecast of an oil reservoir with gas cap and water drive will be developed through static and dynamic modeling. Under the guidance of the professor, students will be encouraged to work independently.
Exercises will include application of the methodologies presented and discussed during lectures to case studies based on synthetic and real data, with increasing degree of complexity. The software commonly adopted in the oil industry for well test analysis and for reservoir simulation will be used. During the course the complete workflow of characterization, history match and production forecast of an oil reservoir with gas cap and water drive will be developed through static and dynamic modeling. Under the guidance of the professor, students will be encouraged to work independently.
Reference books: Tarek H. Ahmed, 2006. Reservoir engineering handbook, Elsevier/Gulf Professional L. P. Dake, 1983. Fundamentals of reservoir engineering, Elsevier Petroleum Engineering Handbook, Volume V, 2007, Society of Petroleum Engineers (SPE) Technical Papers will be provided (unlimited free download from the SPE One-Petro library is also available) The slides presented during lectures will be periodically posted on the course website
Reference books: Tarek H. Ahmed, 2006. Reservoir engineering handbook, Elsevier/Gulf Professional L. P. Dake, 1983. Fundamentals of reservoir engineering, Elsevier Petroleum Engineering Handbook, Volume V, 2007, Society of Petroleum Engineers (SPE) Technical Papers will be provided (unlimited free download from the SPE One-Petro library is also available) The slides presented during lectures will be periodically posted on the course website
Modalità di esame: Prova orale obbligatoria; Prova scritta su carta con videosorveglianza dei docenti;
The exam comprises a written part (10 points maximum) and an oral part (20 points maximum) and is aimed at assessing the acquired knowledge and technical skills. Written questions are related to applicative aspects (problem solving with calculations) to be developed remotely under the professor surveillance. Oral questions are concerned with the theoretical parts, analysis of the methods for reservoir characterization and simulation, discussion of approaches to be taken for problem solving (without calculations). The capability to integrate knowledge gained in other courses and contexts, to critically examine a technical problem and to select models and methods to reach the solution is expected. The exam is closed books.
Exam: Compulsory oral exam; Paper-based written test with video surveillance of the teaching staff;
The exam comprises a written part (10 points maximum) and an oral part (20 points maximum) and is aimed at assessing the acquired knowledge and technical skills. Written questions are related to applicative aspects (problem solving with calculations) to be developed remotely under the professor surveillance. Oral questions are concerned with the theoretical parts, description and analysis of the methods for reservoir characterization and simulation, discussion of approaches to be taken for problem solving (without calculations). The capability to integrate knowledge gained in other courses and contexts, to critically examine a technical problem and to select models and methods to reach the solution is expected. The exam is closed books. Important rules for the exams: students must show their identification document (the student card is not an identification document) and this will be checked and compared with the student’s photo available in the database of the University by the professor prior to the exam. A witness (who is not a member of the Board of Examiners) shall be present during the exam. Students must be alone in the room and must declare that they are not using any aid or support tool and that nobody is in the room to help them during the exam. Notes/phone/electronic devices - except a pocket calculator - are not allowed; only white papers, pens and a ruler can be used. The student might be asked to share the screen during questions. If the connection is lost, the exam will have to be restarted from the beginning. It is decision of the professor to offer the opportunity of sitting again for the exam in case of technical problems.
Modalità di esame: Prova scritta (in aula); Prova orale obbligatoria;
The exam comprises a written part (10 points maximum) and an oral part (20 points maximum) and is aimed at assessing the acquired knowledge and technical skills. Written questions are related to applicative aspects (problem solving with calculations) to be developed remotely under the professor surveillance. Oral questions are concerned with the theoretical parts, analysis of the methods for reservoir characterization and simulation, discussion of approaches to be taken for problem solving (without calculations). The capability to integrate knowledge gained in other courses and contexts, to critically examine a technical problem and to select models and methods to reach the solution is expected. The exam is closed books.
Exam: Written test; Compulsory oral exam;
The exam comprises a written part (10 points maximum) and an oral part (20 points maximum) and is aimed at assessing the acquired knowledge and technical skills. Written questions are related to applicative aspects (problem solving with calculations) to be developed under the professor surveillance. Oral questions are concerned with the theoretical parts, description and analysis of the methods for reservoir characterization and simulation, discussion of approaches to be taken for problem solving (without calculations). The capability to integrate knowledge gained in other courses and contexts, to critically examine a technical problem and to select models and methods to reach the solution is expected. The exam is closed books. Important rules for the exams: students must show their identification document (the student card is not an identification document) and this will be checked by the professor prior to the exam. During the written part of the exam, notes/phone/electronic devices - except a pocket calculator - are not allowed; only white papers, pens and a ruler can be used. A witness (who is not a member of the Board of Examiners) shall be present during the oral part of the exam.
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