SPE/AIChE Workshop: Improved Field Development Economics Enabled by Flow Assurance 3 - 4 Nov 2020 San Antonio, Texas, USA

Agenda

Tuesday, November 03

07:00 - 08:00
08:00 - 08:10
08:10 - 10:00
Session 1: Flow Assurance Impacts on Field Development – Economics, Subsurface Uncertainty & Risk-based Design
Session Chairpersons Mike Stratton, Hess; Wade Schoppa, Genesis

This session will address key flow assurance considerations for field development planning, as well as the impacts of subsurface variability on the system design.  We will highlight the uncertainties possible from the subsurface development such as fluid properties, well locations, water production over time, range of oil production per well and cumulative for the system, etc.. Discussion will be encouraged on how these uncertainties are addressed and how it may impact the design of the system downstream of the well.  As the appraisal of the field progresses, we will discuss how the new information generated impacts these uncertainties and its potential influence on the downstream design.  Given the unknowns, how can we accommodate these uncertainties and yet create an economical / realistic design of a production system? 

10:10 - 10:30
10:30 - 12:00
Session 2: Standardization Achieved vs. Desired; Regulations
Session Chairpersons Ravi Gudimetla, BHP; Suyu Ye, Equinor

What standardization have we achieved, what have we not achieved, and what is desired?  What regulations impact design and can we do anything about it? Topics such as HIPPS / valve testing frequency, and intervention capability will be covered.

12:00 - 13:30
13:30 - 15:00
Session 3: Risk Avoidance vs. Remediation; Production Operations
Session Chairpersons Ashutosh Kak, Genesis

Discussion of topics on which risks are a "must to be avoided by design" vs. those risks that could be taken and mitigated if they are manifested during operations. Do these have to be operator dependent? What are the lessons learned from operations that we have not incorporated in design?

15:00 - 15:30
15:30 - 17:00
Session 4: Intervention Philosophy
Session Chairpersons Taras Makogon, Saudi Aramco; Hariprasad Subramani, Chevron

This session will discuss intervention capabilities to-date for riser-flowline and wellbore. What's available today and desired in the future.

17:00 - 18:30

Wednesday, November 04

07:00 - 08:00
08:00 - 09:30
Session 5: Asphaltene Detection, Prediction, and Inhibition
Session Chairpersons Don Shatto, ExxonMobil; Jeff Creek

This session will explore methods to predict and detect asphaltenes in field for current or future developments.  This may include physical tests or predictive methods like equations of state.  Furthermore, once asphaltenes are deemed problematic, what tests can be used for inhibitor selection and field performance. Near-wellbore deposition and remediation (due to water/gas injection in reservoir for improved recovery) is also in scope.

09:30 - 10:00
10:00 - 11:30
Session 6: Chemical Injection Systems
Session Chairpersons Qiwei Li, ChampionX; Cem Sarica, University of Tulsa

Can chemicals be used for risk mitigation? Could we accept a set of practices with chemicals as OPEX and not pre-build everything in CAPEX?

11:30 - 13:00
13:00 - 14:30
Session 7: Emerging Technology
Session Chairpersons Janardhan Davalath, TechnipFMC; Eric Grzelak, OneSubsea

Discussions will focus on how emerging technology enhances flow assurance performance and system level design such as subsea boosting, subsea processing, heated flowline, advances in remediation, chemicals and others to improve field economics.

14:30 - 15:00
15:00 - 16:30
Session 8: The Use of Big Data to Create Big Value
Session Chairpersons Tom Danielson, ConocoPhillips; Prabu Parthasarathy, Wood

The availability of massive data sets (often from the assets themselves) coupled with advanced analytical techniques have given rise to opportunities for optimization of production operations not possible even a few years ago.  The discipline of flow assurance is uniquely poised to utilize the volumes of data being captured into data warehouses and lakes.  Data analytics, coupled with physical models, hold great promise in yielding a greater understanding of production operations, realized through the use of digital twins and virtual metering.