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

 

 

Artificial Lift Performance

Injection & production
Management

Remote Surveilance Monitoring

Reservoir Performance

Failure Production

Well & flowline optimization

Asset Management

Facilities Integrity

Well Integrity

Flow Assurance

Key Performance
Indicator

3rd Party
Applications

Data Integration and Ingestion

Wells Standard Datamodel OSDU

Data Analytics and VisualIzation

Artificial Lift Performance Management

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 Management

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 Management

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

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

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

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