ECO
Description
ECO is
a software platform for well construction
ECO is a software developed to cover all
phases of well construction from engineering and monitoring to process automation using
a common data space. ECO is designed to allow multi-functional and multi-vendor teams to
seamlessly work together
The main benefits of using
1. Construction time
Significant
reduction in well construction time
2. Non-Productive time and Drilling
Hazards
Reduction in number of human errors. Reduction
in total number of unplanned events
3. Reduce cost
Lowers total well
construction cost
4. Process efficiency
Creates
and optimizes workflows and eliminates inefficiencies. Enables faster and more informed
decision making
5. Reporting
Automated reporting reduces subjective analysis
6.
Cost
Does not require
additional capital expenses and has low operating cost
Main
functions
1. Data Aggregation
Integration
of multiple sources of downhole and surface data. Single platform for all real time data
aggregation and transmission
Provides data quality analysis and data quality
control tools
Provides data quality alarms for any critical parameters to avoid
erroneous decisions based on insufficient or potentially corrupted data.
Aggregates accurate statistics for further analysis and timely decision
making
2. Visualization
All data is visualized as a
real time stream in any web browser. Enables monitoring of well construction activities
in real-time;
Allows for easy customization of dashboards, units, time zones;
Enables building of customized dashboards to visualize data analytics (gauges,
logs, line charts, cross plots, pie charts), rig activities and combine well log data
with directional information.
Provides time-depth conversion for any data on the
fly, allows synchronization of graphs and dashboards;
Allows tracking of well
depth progress vs. time and benchmarks vs. targets or plans; ability to add comments to
any events or trend deviations;
Provides localization functionality, supporting
different languages and different tool catalogs;
3.
Management
Project
documentation, operational data, equipment and user management
tools.
4. Transmission
Robust two-way
data transmission between rig site and remote data center or third-party applications
5. Storage
Cloud-based multi-rig
data repository
File management tools
User management tools
Tools
for multi-user collaboration
6. Reporting
Tools for on demand
and automated report generation
7. KPIs
Automatic downhole activity detection and Key Performance Indicator analysis for
drilling, tripping and connections operations.
Automates rig activity detection
and classification
Uses aggregated data analytics to obtain detailed breakdown of
well activities;
Performance measures: drilling and tripping KPI analysis and
on-demand alerts for trend deviations
Perform rig crew assessment to improve
performance and competency;
Tools for custom-build algorithms: customizable
calculations, conditions, and state machines
8.
Hazards
System of smart alarms, personnel notifications,
decisions and procedures execution tracking
9.
Optimization
Tools
for real-time drilling performance tracking and optimization.
Identifies
invisible NPTs to allow for timely mitigation;
Ensures execution of procedures and
compliance with established plans
Well drilling planning functionality: (a) Drill
string design, (b) Well hydraulic analysis.
Dynamic drilling plan updates based
on current well state and measured data
10. Real-time well mechanics and hydraulics
modeling
Track in real-time downhole tools performance
and endurance
Monitor and efficiently manage downhole Equivalent Circulating
Density in real-time.
Estimate MSEs in real-time based on surface measurements
and/or "soft" downhole sensors
Define optimal drilling parameters for different
formations
Dynamically establishes safe operational corridor
Provide
dynamic driller's road map;
Predict ahead using real-time calibrated models
Provide warnings of deviations from optimal performance;
Provide early
warning of downhole NPT, automatically classify severity levels of the unplanned events
and estimate their probability
Enable real-time automated calibration of the
constitutive models;
Model predicted versus actual measured data and trend
analysis
Key specifications
1. The ECO interface is designed as a modern web
application available for any operating environment, PC and/or mobile devices.
2. THE ECO platform can be deployed on a single physical server
(drilling rig), or on multiple servers located in a remote data center or on a cloud
infrastructure
3. The ECO platform is implemented using CentOS
Linux operating system and a number of proven technologies: real-time streaming data
processing on Kafka platform, micro services, and a combination of relational and NoSQL
databases
4. ECO supports standard data exchange protocols:
OAuth2.0, Modbus, WITS0, WITSML 2.0 and can be easily integrated with existing client
systems.
5. ECO utilizes real-time (1 Hz update rate)
mathematical models to dynamically simulate well conditions
Differences from existing systems
1. Provides high quality well planning tools and
performance monitoring using a common data environment and single software platform
2. ECO targets three different groups of users: Operators,
Rig Contractors and Service Providers
3. ECO is the only
software that performs real-time simulation and data analysis by calibrating
mathematical models using actual measured data to predict wellbore conditions.
4. ECO provides innovative technology to automatically detect and
classify rig states and allows the creation of dynamic alarms, calculation of trends and
reporting on user's defined KPIs
5. Virtual sensors can be
used at different locations to predict the values of critical parameters where physical
sensors are not available or cost prohibitive. Knowing the value of these parameters and
having real-time access to historical data enables prediction of downhole conditions
without the use of physical sensors. The data measured by deployed physical sensors can
be easily and reliably extrapolated to other borehole locations.
6.
Optimization of drilling parameters based on real-time drillstring mechanics
and well hydraulics modeling combined with surface and downhole measured data leads to
improved ROP, extended bit life and lower drilling costs