Page 384 - Intelligent Digital Oil And Gas Fields

The Future Digital Oil Field 323

Artificial
intelligence &
Immersive human-machine Cost reduction drivers
collaboration and interface Sensor ubiquity and
remote operations miniaturization
Value delivered with Augmented Integrated Connectivity
from technology Reality reservoir High performance
decisions
and process
disruption Predictive computing
analytics Communication
Automation
Automated Memory
Ubiquitous controls Machine Cloud service
sensors- learning
Industrial loT
Mobility
Bandwidth
explosion
Today 5–10 years
Time
Fig. 9.1 Disruptive technologies that are driving value for DOF implementation.
• unlimited, clear, and clean data collection and sharing across the organi-
zation, which is well protected against cyber-attacks;
• easy application of automated processes to reduce cost over existing
manual processes;
• improved efficiency in sensors, equipment, devices for real-time control;
• enhanced production levels by reducing production downtime through
the adoption of data modeling and software solutions that aid decision-
making.
This chapter highlights the following topics for the industry’s intelligent
DOF of the future. Fig. 9.1 illustrates how these technologies and processes
will continue to add value in future DOF implementations as they disrupt
current practice and technology:
• ubiquitous sensors, that is, the industrial Internet of things (IIoT),
• data everywhere or Big Data,
• next generation of analytics,
• automation and remote operations,
• knowledge everywhere, knowledge capture, and management,
• integrated reservoir management,
• collaboration, mobility, remote operations, and machine-human
interface.

9.1 UBIQUITOUS SENSORS (IIoT)

Experts predict that the number of connected devices is increasing from
about 23 billion in 2015 to more than 50 billion in 2020 (Cisco, 2013),