Page 41 - Intelligent Digital Oil And Gas Fields

22 Intelligent Digital Oil and Gas Fields

c. The automation process boosts the entire manual workflow orders of
magnitude compared with baseline performance, reducing human
error and miscalculations.
4. Increase staff/team efficiency.
a. Today between 60% and 80% of engineers are spending their time
in data collection and management. Why not engage machines in
performing this tedious and error-prone task and dedicate the engi-
neering time for identifying short- and long-term opportunities?
b. Allow more time spent in troubleshooting, addressing performance
issues, and generating in right time rapid diagnostic and present
short-term opportunities.
c. Manage by exception with automated advisories ensuring that the
staff addresses issues based on value and key performance criteria
and in the most efficient order
d. Focus on long-term opportunities.
5. Decrease other operational costs
Intangible metrics:
• Better collaboration and cooperation among professional disciplines.
• Proactive addressing of operational issuesless reactive
• Increasing teamwork motivation
• Fast engagement and identification (ownership but with governance)
with company goals.

1.6.3 DOF Benchmarks Across the World

This section provides examples of some of the business value generated by
the DOF projects discussed earlier in this chapter and are summarized in
Tables 1.1–1.9. Fig. 1.11 illustrates that since the late 1990s many companies
including IOCs, NOCs, and independent E&Ps have implemented DOF
around the world. Tables 1.1–1.9 provide a summary of the characteristics
for a survey of DOF projects.

1.6.3.1 Smart Fields
To quantify the added value of its Smart Field program, Shell impleme-
nted a rigorous value assessment (Van den Berg et al., 2010) based on
conservative estimation and calculation rules. The assessment included
50 Shell assets worldwide, evaluating the impact for 12months (in 2009).
The categories evaluated during the test were smart wells, well optimization,
facilities optimization, remote/automated operations, and team efficiency