SC05 - EVALUATING NEW TECHNOLOGIES
Significant capital in many industries are invested in new technologies that may have commercial value in itself, be an enabler for other projects, increase revenues or decrease spends per unit of production. Some technologies may require significant pre-investments which will occur before the technology risks have been fully resolved. Early identification of project candidates for implementation and effective collaboration across disciplinary and departmental boundaries are key for the technology value potential to be realised.
This 1-day course focuses on how new technologies present business opportunities both by increasing value on existing projects and by re-visiting opportunities that would otherwise be sub-economical. It shows how potential new technologies can be included into the decision basis for the project and evaluated as real options that may add value given successful development and implementation. The technology evaluation is fully integrated with other key project decisions and uncertainties and seen in relation with the overall project timeline. Participants will learn how to agree on which project decisions and schedule milestones are the most critical in relation to the new technology, incorporate the new technology into the initial problem structure, facilitate the thought process and compute results. Participants will also learn how to clarify and agree upon the required contributions from the core project team as well as the technology specialists and to use preliminary results to provide additional insight to the decision problem. Last, participants will learn the importance of presenting and communicating decision alternatives to the new technology, its main value drivers, risks and recommendations and making sure all aspects of the new technology is covered.
Upon request
1-day course
Lectures, case studies, group work
Concepts
Technology identification, enhancer and enabler technologies, technology qualification programs, technology readiness levels (TRLs), technology novelty categories, technology risking, fall-back cases, alternative options, competing alternatives and technologies, the capital value process (CVP).
Learn how to
Utilise technology readiness levels, technology novelty categories and the capital value processes to evaluate and compare relevant technologies. Calculate key technology risks and incorporate them into the problem structure. Communicate main value drivers for the technology options as well as for the project as a whole and compare competing alternatives in a consistent way.
Attitudes
Acknowledge the potential value, but also the risks of new technologies, take responsibility to identify and compare alternative technologies with other conventional alternatives, take initiative to work closely with technology experts throughout projects.
Target group
This course is specifically designed for professionals involved in economic valuation and decision analysis where new technology options may play an important contribution to overall value creation: project managers, project members, technical personnel, R&D. The course can be customised to suit a certain business area or type of technology specifically.
Knowledge
Understand the potential value of technology options and the importance of early technology identification. Recognise your contribution to successful incorporation of technology options into the decision basis. Participate pro-actively to identification and evaluation of technology options as well as competing alternatives.
Background
University level degree. Technical or economic backgrounds are both suitable, and some basic knowledge about decision analysis methodology is recommended.
PAYMENT OPTIONS
ENROLMENT
This course is arranged upon request. Get in touch for more details.
INSTRUCTORS
More than 35 years of combined experience in the field of decision analysis.
OUR OTHER COURSES
General courses
S01 – Combine experience, intuition and analysis
6. October 20152-day course: Learn the fundamentals of decision analysis. How to structure different types of decision problems. Identify key aspects, main value drivers and relevant risks. Optimise sequences of decisions and possible outcomes. Evaluate costs and benefits of data gathering programs. Identify real options, non-linearities and strategic values. Present and communicate decision alternatives. … Read More
SC01 – Framing and problem structuring
6. October 20151-day course: Learn different framing and problem structuring techniques to increase the likelihood of capturing what is important early on, align team members and maximise value creation. Learn how to identify key decisions and relevant risks and uncertainties as early as possible. Present and communicate decision alternatives, main value drivers, risks and recommendations. … Read More
SC02 – Decision modelling for insight
6. October 20151-day course: Learn how to build decision models to increase the likelihood of capturing what is important early on. Construct models to reflect the problem structure for various decision problems. Course participants are guided through the process of building a simple decision model using Excel by Microsoft and @Risk by Palisade*. The model is used in team exercises to illustrate the value of proper modelling, insightful result plots and best practice workflows. … Read More
SC03 – Evaluating real options
6. October 20151-day course: Learn how to use a structured approach to identify real options in different types of projects. Incorporate the real options into the initial problem structure and estimate the value of the options. Weigh the cost of incorporating flexibility into the project against the probability and value potential of capturing upside. … Read More
SC04 – Decision analysis for managers
7. October 20151-day course: Learn how to interpret and gain insight from decision modelling results, establish best-practice workflows, use different types of economic indicators, distinguish between relevant and irrelevant project risks and optimise projects and portfolios under capital constraints. Examples are used to illustrate how high quality decisions derive from the right combination of thought, collaboration, computation and communication. … Read More
SC05 – Evaluating new technologies
5. October 20151-day course: Learn how to utilise technology readiness levels, technology novelty categories and decision/governance processes to evaluate and compare relevant technologies. Calculate key technology risks and incorporate them into the problem structure. Communicate main value drivers for the technology options as well as for the project as a whole and compare competing alternatives in a consistent way. Learn to differentiate between enabler and enhancer technologies and value potential on project and portfolio level. … Read More
Oil & energy courses
F01 – Multi-disciplinary field trip
9. January 20165-day field trip: Learn how to extract critical geological information and understand its implication for volume estimation, producability, drainage strategy, drilling strategy, development concept and value. Identify key value drivers and contribute to constructive multi-disciplinary discussions at the intersection between geo-modelling and project modelling using decision models and decision analysis methodology. … Read More
E01 – Exploration and appraisal projects
10. October 20151-day course: Learn how to estimate the economic value of a prospect based on an optimised sequence of decisions and possible outcomes. Adapt a fit for purpose approach given the incomplete data availability and the fact that many of the assumptions made are often conceptual and based on analogues. Estimate geological and commercial risks and evaluate the costs and benefits of appraisal and other data gathering programs. … Read More
E02 – Early phase projects
10. October 20151-day course: Learn how to bring a discovery from appraisal to concept selection and development. Learn how all elements from reservoir to market can be included in the analysis and how different appraisal programs, development alternatives and drainage strategies can be compared. Present and communicate decision alternatives, main value drivers, risks and recommendations. … Read More