Showing posts with label UA. Show all posts

Probabilistic approach to benchmarking three numerical simulators Using the Egg Model








Probabilistic approach to benchmarking three numerical simulators Using the Egg Model

A large number of the decisions taking by oil & gas companies rely on the evaluation of simulators to project resources and hence infrastructure, production, wells and operations. These simulators integrate rock physics and fluid dynamics to give a more realistic representation of the reservoir and its response during the field development. The inputs used for the simulators vary but mostly rely on data from geology, seismic as well as exploration and production in order for the models to be as accurate as possible.


Oil and Gas Decision Making - Why we keep underplaying uncertainty ?




As the oil industry has high challenges running day to day activities such as reservoir monitoring, management of the field, field development planning as well as estimating reserves and resources. Deterministic workflows reflect the capacity that we have as humans to process information, but the nature of our work should be stochastic to account for uncertainty. This article will be the first in a series of articles explaining the current industry environment towards uncertainty analysis and how as petroleum engineers we can efficiently make use of statistical learning techniques to help us in the movement from deterministic to probabilistic workflows. 


Uncertainty evaluation applied to a stochastic history match study -White Paper-




With current pressured market condition, understanding the uncertainties and risks associated  with a particular project is crucial when an investment decision have to be taken.

Uncertainty is a state of having limited knowledge of current conditions or future outcomes. It is a major component of risk, which involves the likelihood and scale of negative consequences, in order to minimize the risk that managers’ decisions will lead to undesired outcomes a well-supported decision frame have to be placed, using all possible resources and techniques including stochastic assessments base on simulation models.

This white paper describe a proved methodology used to evaluate and quantify subsurface uncertainty in a reservoir model used as basis for decision making.

http://www.primerareservoir.com/resources/Primera%20Reservoir%20White_Paper_UNISIM_UA_Stochastic_History_Match.pdf


Author:
Jesus Aponte
Reservoir Engineering Consultant at
Primera Reservoir LTD

UK and European SPE Student Paper Contest





Society of Petroleum Engineers (SPE) coordinates 14 regional Student Paper Contests (SPC) at the undergraduate, master's, and PhD level. Students compete against other students from their region for the opportunity to advance to the International Student Paper Contest, held during the Annual Technical Conference and Exhibition (ATCE). Contestants enter with an abstract of their paper, of which they perform a presentation on the day of the competition, and then the victors who proceed to the International contest at ATCE have their papers published in the conference proceedings and on Onepetro.

The UK annual SPC was last held in November 2014 at Imperial College London where petroleum engineering students from all around the UK had gathered to present their dissertation work at Masters Level.

The work presented by Arash Farhadi, who at the time was a student at London South Bank University, was a feasibility study on Offshore Polymer Flooding, Forecasting production through Integrated Asset Modelling, A Technical and Economic Approach. The objectives of this work was to investigate how capital efficient such offshore projects can be and whether they can be rewarding in terms of economics.

The dissertation was completed under the supervision of Consultant reservoir engineers Alejandro Primera and Jesus Aponte from Primera Reservoir Ltd.     The supervision provided by Primera Reservoir covered areas of reservoir simulation modelling, Integrated Asset Modelling (IAM), uncertainty and risk analysis and the economic evaluation.

The judges voted the work as the winner of the UK SPC 2014 and was therefore invited to present at the European SPC in June 2015. Subsequently, earlier this month Arash Farhadi, who is now part of the staff at Primera reservoir specialized in line of Chemical Enhanced Oil Recovery (CEOR), presented the topic at the European SPC in Budapest where it was subject to positive feedback from the delegates at the event.

The main challenges in regards to implementation and evaluation of this project were the following:

Surface Facilities
  • Space and weight limitations
  • Storage tanks and mixing facilities
  • Water treatment facilities
  • logistics 
Technical Challenge

•         Modelling the uncertainties associated with polymer performance and flooding
•         Polymer performance under various conditions

Incremental Operational and Capital Expenditures

•         Incremental CAPEX and OPEX for the Surface facilities required
•         Polymer price
•         Oil Price

Workflow

The following workflow was put into place to address challenges associated :






Since then the path taken by Primera Reservoir in pursue of further research around CEOR has expanded. We are now in collaboration with universities from all around the UK and offer our supervision on the final year and Master’s level dissertations focused on CEOR. In the year 2015, we have supervised 5 students at both undergraduate and postgraduate levels. The students will be competing in the 2015 UK SPC in the coming months.  




Society of Petroleum Engineers - Unconventional Resources Heavy Oil and Shale -


In the recent times there have been substantial technical and engineering advances in the economical extraction of oil from unconventional resources. The improvements in subsurface knowledge along with sophisticated technologies are the driving factors in oil recovery from sources referred to as unconventional or heavy oil.

Primera Reservoir has been deeply engaged in Chemically Enhanced Oil Recovery (CEOR) development plans for heavy oil field scenarios. In this regard, on the 23rd of April 2015, we were invited to present at the Unconventional Resources seminar in London hosted by the Society of Petroleum Engineers (SPE). It has been previously acknowledged that some of the world’s largest reserves are known to be of heavy oil type. The presentation was focused on ways to approach CEOR implementation on heavy oil resources. The key factor has always been how to extract heavy oil in the most efficient manner. In order to obtain the best recovery rate, a series of flooding ranging from Polymer, surfactant-polymer (SP) and Alkaline-Surfactant-Polymer (ASP) were implemented to a heavy oil model.
The scope was to determine the best case development scenarios combining different chemicals for the recovery mechanism. In this sense, a series of sensitivity analysis of injection rate, surfactant and chemical concentration, injection pressure and injection fluid temperature were implemented in the model.

Once the flooding was performed, economic analysis was carried out on every case to determine whether the development scenarios were economically rewarding. For the analysis a series of factors were taken into account, i.e: chemical price, chemical logistics as well as incremental CAPEX, which is required for surface facilities such as water treatment, chemical mixing and dispersion units, emulsion treatment facilities, etc.