PhD, Advanced Processing of Data From Existing Well Logging Tools
About the position
Purpose of research project: To understand and improve on the algorithms currently used to process ultrasonic well log measurements. Among other things, such measurements are used to determine the integrity of oil and gas wells, and decisions with environmental and financial impact can depend on their results.
- A comparative review of existing processing algorithms that have been published.
- An implementation of these algorithms as a software library.
- A design and implementation of an improved data processing algorithm that can draw more and higher-accuracy information from well log data than current algorithms and can be used to process data from different tools from different vendors.
Project description: Various oil service companies have their own ultrasonic well logging tools, typically built along the same two principles known as pulse-echo and pitch-catch logging. For reasons of intellectual property, the different companies typically have their own processing algorithms that they have published in patents and scientific articles, some of them more than three decades old.
The PhD candidate will start the project by reviewing and testing the algorithms that have been published. This work would first lead to a review article that compares the performance of the algorithms on synthetic and real-world data, and secondly lead to an open-source software library that implements the processing algorithms in question. Equipped with an understanding of the existing algorithms, the candidate will integrate that knowledge to create one or more improved data processing algorithms which may be used across various vendors’ tools. One possible path may be through creating a better simplified mathematical model of the impulse response in pulse-echo measurements, which unlike e.g. Schlumberger’s T3 processing algorithm would take 3D effects and reflections from third interfaces into account. Such a model can be combined with an optimisation algorithm in order to fit any unknown parameters in the model on measured well data. The candidate can then validate the model on synthetic and real well log data, comparing it against current algorithms and different tools from different vendors.
This project will be developed in close collaboration with the CIUS partner Equinor. Piloting of this project can be carried out by Equinor internally implementing the processing algorithm library and the new algorithm, e.g. as a Techlog plugin that can be used to reprocess measured raw data from a variety of vendors. Supervisors:
Erlend Magnus Viggen, Post Doc, CIUS, NTNU. Co-supervisors: Svein-Erik Måsøy, Researcher, CIUS, NTNU. Tonni F. Johansen, Associate Professor, CIUS, NTNU. Ioan-Alexandru Merciu, Researcher, Equinor
Duties of the position
Equipped with an understanding of the existing algorithms, the candidate will integrate that knowledge to create one or more improved data processing algorithms which may be used across various vendors’ tools. One possible path may be through creating a better simplified mathematical model of the impulse response in pulse-echo measurements, which unlike e.g. Schlumberger’s T3 processing algorithm would take 3D effects and reflections from third interfaces into account. Such a model can be combined with an optimisation algorithm in order to fit any unknown parameters in the model on measured well data. The candidate can then validate the model on synthetic and real well log data, comparing it against current algorithms and different tools from different vendors.
Over the course of this project, the candidate will learn about:
- Acoustic wave propagation in solids and fluids
- The numerical and mathematical modelling thereof
- Signal processing Software development
It is desirable that the candidate already has a background in one or more of those fields.
Required selection criteria
The PhD-position's main objective is to qualify for work in research positions. The qualification requirement is that you have completed a master’s degree or second degree (equivalent to 120 credits) with a strong academic background in [subject area] or equivalent education with a grade of B or better in terms of NTNU’s grading scale. If you do not have letter grades from previous studies, you must have an equally good academic foundation. If you are unable to meet these criteria you may be considered only if you can document that you are particularly suitable for education leading to a PhD degree.
The appointment is to be made in accordance with the regulations in force concerning State Employees and Civil Servants and national guidelines for appointment as PhD, post doctor and research assistant.
- A master’s degree or equivalent education with emphasis on theory and methods from acoustics, (bio)physics, mathematics, signal processing, electronics, or computer science, with a weighted-average grade of B or higher, in accordance with NTNU’s grading system
- Good communication skills in both oral and written English
- Good analytical and programming skills
Preferred selection criteria
- Experience within the field of ultrasound in either medicine or industrial applications
- Experience with methods and / or theory for one of the specific projects listed
- Prior written, scientific output with relevance
- Background in either acoustic wave propagation in solids and fluids, numerical and mathematical modelling thereof , Signal processing and/or Software development
CIUS aims to be a world-leading centre for research and innovation in next-generation ultrasound technologies. Candidates for this position will be selected in accordance with this aim. For some projects, it is imperative that the candidate has a proven ability to work in an experimental setting and is willing and interested in doing laboratory work.
- Good communication abilities
- Besides technical skills, we are looking for a curious, ambitious candidate who is highly self-motivated to do research and contribute to the innovative work carried out in CIUS.
In the evaluation of which candidate is best qualified, emphasis will be placed on education, experience and personal suitability.
- exciting and stimulating tasks in a strong international academic environment
- an open and inclusive work environment with dedicated colleagues
- favourable terms in the Norwegian Public Service Pension Fund
- employee benefits
Salary and conditions
PhD candidates are remunerated in code 1017, and are normally remunerated at gross from NOK 479 600 per annum before tax, depending on qualifications and seniority. From the salary, 2% is deducted as a contribution to the Norwegian Public Service Pension Fund.
The period of employment is 3 years.
Appointment to a PhD position requires that you are admitted to the PhD programme within three months of employment, and that you participate in an organized PhD programme during the employment period.
The engagement is to be made in accordance with the regulations in force concerning State Employees and Civil Servants, and the acts relating to Control of the Export of Strategic Goods, Services and Technology. Candidates who by assessment of the application and attachment are seen to conflict with the criteria in the latter law will be prohibited from recruitment to NTNU. After the appointment you must assume that there may be changes in the area of work.
It is a prerequisite you can be present at and accessible to the institution on a daily basis.
About the application
The application and supporting documentation to be used as the basis for the assessment must be in English.
Publications and other scientific work must follow the application. Please note that applications are only evaluated based on the information available on the application deadline. You should ensure that your application shows clearly how your skills and experience meet the criteria which are set out above.
Joint works will be considered. If it is difficult to identify your contribution to joint works, you must attach a brief description of your participation.
Candidates from universities outside Norway are requested to send a Diploma Supplement or similar official document, which describes in detail the study and grade system and the rights for further studies associated with the obtained degree: https://europass.cedefop.europa.eu/documents/european-skills-passport/diploma-supplement. Candidates from non-English speaking countries outside the Nordic countries must provide official documentation of their English competence. Approved tests and results are:
- TOEFL: 600 / writing 4.5 (paper-based test), 92 / writing 22 (internet- based test)
- IELTS: 6.5, with no section lower than 5.5 (only Academic IELTS tests accepted)
- Cambridge Certificate in Advanced English (CAE) or
- Cambridge Certificate of Proficiency in English (CPE): grade A or B
A good work environment is characterized by diversity. We encourage qualified candidates to apply, regardless of their gender, functional capacity or cultural background.
NTNU is committed to following evaluation criteria for research quality according to The San Francisco Declaration on Research Assessment - DORA.
As an employee at NTNU, you must at all times adhere to the changes that the development in the subject entails and the organizational changes that are adopted.
Information Act (Offentleglova), your name, age, position and municipality may be made public even if you have requested not to have your name entered on the list of applicants.
For further information about the positions, please contact either:
Industry liason and researcher, Svein-Erik Måsøy, telephone: +47 92625082 or email: firstname.lastname@example.org.
Professor, Lasse Løvstakken, telephone: +47 91347206 or email: email@example.com.
For information concerning the application process, please contact: HR Consultant Julie Hoff, telephone: + 47 72576984, email: firstname.lastname@example.org
The application is to be accompanied by a cover letter explaining how your background and education fit the goals and requirements of the selected project(s) from the list of available positions. Please submit your application electronically via jobbnorge.no with your cover letter, CV, diplomas and certificates.
Applications submitted elsewhere will not be considered. Diploma Supplement is required to attach for European Master Diplomas outside Norway. Chinese applicants are required to provide confirmation of Master Diploma from China Credentials Verification (CHSI).
If you are invited for interview you must include certified copies of transcripts and reference letters.
Application deadline: 31.07.2020
NTNU - knowledge for a better world
The Norwegian University of Science and Technology (NTNU) creates knowledge for a better world and solutions that can change everyday life.
The Department of Circulation and Imaging (ISB) has 260 employees, and its research units are at the Cardiothoracic Centre at St. Olav’s Hospital, integrated with collaborating clinical divisions. The Department of Circulation and Medical Imaging (ISB) includes anaesthesiology, radiology, radiography, ultrasound, magnetic resonance imaging, exercise physiology, cardiovascular physiology, pulmonary physiology, pulmonary medicine, cardiology, vascular surgery, thoracic surgery and biomedical engineering. The department is also responsible for the Centre for Innovative Ultrasound Solutions (CIUS), the Medical Simulation Centre and the MR Centre. More information about the department is available at http://www.ntnu.edu/isb
Deadline 31st July 2020
Employer NTNU - Norwegian University of Science and Technology
Place of service Øya, Trondheim