FATHOM WELLS
AI-driven Production Optimization Application Suite for
Artificial Lift performance | Reservoir Management | Flow Assurance | WellHead & Flowlines Integrity
Improve Production up to
20%
Minimize Downtime up to
30%
Reduce Costs up to
15%
| UPSTREAM 4.0 CHALLENGES & THE SOLUTION FATHOM WELLS™
Upstream leaders face critical new market & environmental challenges. A highly dynamic &
complex production environment.
Growing risk and safety regulations. New digital technologies are driving industry-wide disruptions
At the same time, upstream systems are more challenging to manage than ever. They are increasing
in complexity, integrating a wide range of emerging technologies, and going genuinely digital all
while facing new competitors, reduced operational budgets, and a greater need for optimized performance
Upstream leaders must complete a successful digital transformation to overcome these challenges and
uncover this moment of hidden opportunities

FATHOM WELLS APPLICATION SUITE
| ARTIFICIAL LIFT PERFORMANCE
Manage diversity of artificial lift methods and large wells population with high scaled and integrated platform
Operate each well within a safe and the most optimum productive envelope
Implement operating practices backed by the first principles and data-driven approaches
Manage artificial lift transitions against the ever-changing and fast-moving reservoir conditions
Prepare for surface facilities changes due to artificial lift transitions
Track well and reservoir productivity with the help of deployed digital assets
Determine well flow rates at very high frequency and higher accuracy using multiple virtual flowmeters
Enable proactive reserves management and facilities schedules with real-time alerts

| INJECTION & PRODUCTION
Eliminate deferred or completely missed production due to inefficient injection practice
Manage production rates and reservoir voidage easily and confidently with advanced virtual measurements
Determine well flow rates at high frequency (sub-minute possible)
Manage reserves proactively with real-time alerts and prescriptive analytics
Overcome disposal-capacity constraints by tracking and managing disposal streams in an environment friendly manner
Track injection and production parameters at a well or cluster levels
Evaluate injector-producer connectivity without requiring a geological model
| REMOTE SURVEILLANCE MONITORING
Overcome lack of workforce for effective oversight and control of distant and difficult to reach wellsites and operations
Provide anyplace, anywhere, any device, anytime accessibility to enable remote operations, help manage KPIs, and empower staff
Avoid connectivity interruptions with redundancy, failsafe, and architecture
Increase safety and support environmental-friendly approaches by reducing journeys to the field
Make operational intelligence available 24/7 to remote workforce for collaborative outcomes
Bring domain expertise of cross-discipline, multi-skilled teams sitting across borders for better efficiencies in a timely manner
Maintain better visibility and full control of the remote operations from wherever you are
| RESERVOIR PERFORMANCE
Analyze the entire reservoir with state of the art and data-driven approaches like top-down or capacitance-resistivity modeling
Perform better well test interpretation, flow rates-temperature analysis using real-time data
Track shifting reservoir dynamics with a range of virtual flow meters and predictive algorithm
Monitor improving or deteriorating reservoir condition
Transfer results from the data-driven approaches to reservoir simulation models
Deploy one-way coupling to your reservoir simulator to perform advanced analyses like souring and scaling
Evaluate the effects of injection on production without requiring a geological model
Wrangle high volume and velocity of DAS and DTS data with efficient data management
Benefit from the advanced interpretations utilizing image processing analytics
| FAILURE PREDICTION
Detect anomalies and provide timely alerts for a malfunctioning component using data-infused machine-learning algorithms
Avoid the crisis caused by Run-To-Failure (RTF) approaches
Prevent injurious and expensive downtime and deferred production
Apply predictive KPIs to develop reliable and consistent operating procedures
Perform equipment and process-hazard analysis continuously
Improve reliability based on the system-provided parameters and alerts
| FLOWLINE OPTIMIZATION
Perform quick and right-time scenario evaluations with a data-driven approach fortified with physics-based algorithms
Wrangle big DTS and DAS data with e cient data management techniques and apply data-driven algorithms for breach detection
Estimate material loss due to corrosion using algorithms based on vision and fiber optics sensing
Manage chemical programs based on capacity deteriorations from virtual flow measurements and trends
| ASSET MANAGEMENT
Improve effective KPI management across wells, installations, flowlines and reservoir groups using dashboards driven from real-time data and algorithms
Enable pore to process holistic optimization driven by available real-time data and physics-based models
Manage complex interactions between wells, reservoirs, flowlines, and facilities, making system optimization easier to manage
| FACILITIES INTEGRITY
Manage effectively gathering and separation facilities using the asset integrity framework
Prevent catastrophic and unanticipated equipment failures
Capture a detailed, easy-to-access equipment database
Detect performance deviations for equipment report status
Define optimum inspection interval
Implement condition-based maintenance scheduling
Increase facilities availability and performance
Predict MTBF, MTTF, and failure rates for proactive preventative actions
| FLOW ASSURANCE
Understand the production system behaviour from the well to the topside by using a reliable and real-time characterization of the fluid behaviour and transport characteristics
Assess thermal-hydraulics transient behaviour in real-time for slugging behaviour during start-up/shut down/ Cooldown / Turn down/ Ramp up/ Depressurization operations
Check continuously the deposition of wax, asphaltenes, hydrates using non-invasive AI-driven approaches
Learn in advance about the capacity deteriorations from virtual flow measurements and trends
Improve efficiency and efficacy of the chemical injection or other remediation programs to manage undesirables
Apply right-sized and right-time remediation based on deep learning algorithmic determinations
| WELL INTEGRITY MANAGEMENT
Use non-intrusive, responsive, unique, and fit-for-purpose management strategies that combat integrity issues based on real-time data and AI
Track the health of many devices in a distributed environment spread over many square kilometers by redundancy, failsafe, architecture, and predictive algorithms
Provide uninterrupted visibility and monitoring within a Decision Support System (DSS) for integrity engineers and asset owners
Solve the challenge of change from prescriptive integrity approach to performance-based approach
Implement solution to the challenge of having practical and measurable KPIs for different regions and business units
Provide a solution to OpEx optimization and management challenge for repair and de-rate of an in-use asset
The ability to actualize a variety of operation and maintenance plan (Immediate action plan, Short term action plan, Long term action plan) for prevention, mitigation and monitoring of assets
| KEY PERFORMANCE INDICATORS
Identify, monitor, and control key performance indicators across fields, reservoirs, and assets
Establish practical and measurable KPIs for all operational areas from the reservoir to field processing
Provide KPIs at different workforce levels from the field staff to engineering and management
Enhance decision making process
Maintain and increase quality, safety, and environmental compliances
| DATA SOURCES
Ability to integrate with multiple cloud-based
Architecture, application host available in public and virtual private cloud environments. (AWS, Google Cloud Fathom Platform, MS Azure, and private cloud)
Continuous and automated delivery of data for Analytics, AI, and Operations. REST API for CI/CD integration makes it easy to manage
Centers around our collaborative tools and reusable entities for your data integration, management, monitoring, and troubleshooting
Automated versioning, complete audit trail, and record level data lineage gives enterprises the operational control and visibility they need for their mission-critical data
Perform computing tasks outside the data centers at device level
| CLOUD-NATIVE
Increase Agility and Productivity
Increase innovation and competitiveness by supplying new ideas to production within days and weeks in stead of months
Improved Scalability and Reliability
Enterprises can have on-demand elastic scaling offers near limitless scaling of compute, storage and other resources without the need for extra infrastructure planning or provisioning
Lower Costs
It enables to have software as subscription service and pay-per-use models and reduce CapEx spending and optomize OpEx spending
Reduced vendor lock-in
Multi-cloud compatible tools wherever possible, cloud native applications are more portable and beyond the reach of vendor predatory pricing