Matthew will present an overview of the Edge Platform developed at Halliburton and its part in Halliburton’s Integrated Well Construction initiative. The Platform utilizes IoT concepts, containerization, and leverages MongoDB to allow apps to dynamically spin up at runtime and leverage the flexibility of a schema-less database.

1. © 2019 Halliburton. All rights reserved.
Halliburton Integrated Well Construction - Edge
Matt Wise

2. 2© 2019 Halliburton. All rights reserved.
Safety Moment – Flood Safety
Harris County, which encompasses Houston,
averages five days of flooding each year.

3. 3© 2019 Halliburton. All rights reserved.
Introduction and Contents
§ Agenda
§ Halliburton Integrated Well Construction Overview
§ Edge Platform Overview
§ Journey to MongoDB
§ How we leverage MongoDB
§ Impact of MongoDB on our project

4. 4© 2019 Halliburton. All rights reserved.
Halliburton Integrated Well Construction
DIGITAL
WELL
PROGRAM™
Actual Drilling Plan
Fluids and
Pressure
Management
Wellbore
Placement
and Drilling
Mechanics
S
e
t
p
o
i
n
t
s
S
e
q
u
e
n
c
i
n
g
Streaming Analytics
Drilling Set points,
Dysfunctions, Alerts
and Actions
PRIMARY
HMI
DISPLAY
Rig
Automation
Interface
Closed Loop
Automation & Orchestration

5. 5© 2019 Halliburton. All rights reserved.
Physical Process
Halliburton Automation Strategy is about Integration
§ Our systems will Connect, Orchestrate, Visualize and Optimize the well construction process at the rig site
PLCstoRCS
RCStoEdge
Acquisition / Direct Control
Control / Supervision
Application
Enterprise
§ Sensors & Actuators
§ Downhole Tools
§ Manual Control
§ Measurement Devices/PLCs
§ Rig Control Systems
§ HMI
§ Halliburton Edge
§ Rig Automation Layers
§ Process Optimization
§ Science/Simulation
§ Analytics
§ EDRs
§ Remote Operations Center
§ Monitoring
§ Data Lake
EdgetoSolutions
EdgetoDC
FasterResponseTime

6. 6© 2019 Halliburton. All rights reserved.
Halliburton Edge Platform
Raw Sensor
Data
Rig Automation
Layers
3rd Party EDRs
Halliburton Data
Providers
Edge IoT
Edge Data
Processing
Edge Apps &
Analytics
Edge
Dashboards
Remote
Transmission
Edge Data
Persistence
*
*In transformation to MongoDB
Data Sources Data
Standardization
Data
Processing
Data Use

7. 7© 2019 Halliburton. All rights reserved.
Halliburton Edge Platform
Container Management & Orchestration
Edge Platform Components
ServiceIntegration
Solution Components
User Interaction
Develop
Build
Test
Integrate
Review
Stage / Publish
Deploy
CI Pipeline
CD Pipeline
On Demand
Platform Componentization DevOps for the Field

8. 8© 2019 Halliburton. All rights reserved.
Journey to MongoDB
§ Technical Problem:
§ Need to store unstructured
data with unknown schemas
§ System must to be dynamic
and support scalar, vector,
and complex objects
Investigation: Can SQL schema
generically store data?
Decision: Difficult to create a schema
with good structure and performance in
SQL
Investigation: What databases could
generically store data with good
performance?
Decision: MongoDB
• Able to build fast prototypes
• Domain Driven Design
• Great community support
• Drivers available in many languages

9. 9© 2019 Halliburton. All rights reserved.
How we use MongoDB
§ Caching System
§ Real Time Streaming Data
§ Microservice Settings Store
§ Transient Data Storage

10. 10© 2019 Halliburton. All rights reserved.
Getting Started & Deploying MongoDB

11. 11© 2019 Halliburton. All rights reserved.
Thinking Differently: Improving Performance of Storage and Queries
Document
_id = {uuid}
sourceId = x
timestamp = y
values = z1,z2,z3…
Collection
Name: DATA
Document
_id = {uuid}
sourceId = x
timestamp = y
values = z1,z2,z3…
Document
_id = {uuid}
sourceId = x
timestamp = y
values = z1,z2,z3…
… Document
_id = timestamp
values = z1,z2,z3…
Collection
Name: DATA_sourceId
Document
_id = timestamp
values = z1,z2,z3…
Document
_id = timestamp
values = z1,z2,z3…
…
Document
_id = timestamp
values = z1,z2,z3…
Collection
Name: DATA_sourceId
Document
_id = timestamp
values = z1,z2,z3…
Document
_id = timestamp
values = z1,z2,z3…
…
…

12. 12© 2019 Halliburton. All rights reserved.
Overall Impact of Using MongoDB on our Project
§ Less time between start of development and persisting data
§ Developers are more aware of the whole picture since domain and persistence schemas
are developed by the same person.
§ Changing schemas mid-development is no longer scary
§ Less time spent on data mapping and more on domain structure

13. 13© 2019 Halliburton. All rights reserved.