Fathom Pipelines​

AI-empowered platform to all functions of​

 Pipeline Integrity | Pipeline Operation

Improve Integrity up to 35% | Minimize to down time up to 30% | Optimize OpEx up to 25%

Contextualization of Pipeline Integrity Related to Data, Fathom PIO™ (Pipeline Integrity outlook)

Failures of oil and gas pipeline systems may lead to severe consequences to social security and economic loss due to the combustibility of natural gas, including environmental implications of crude oil pipeline failures.

Pipeline integrity and maintenance plans should be applied throughout the lifecycle to ensure that the pipeline system management is safe and cost-efficient.

In light of the above, Fathom Pipeline software suite offers an intuitive and reliable way to keep pipeline records traceable, verifiable, and well documented.

Furthermore, it is a cloud-native platform empowered by AI that allows pipeline operators to do data ingestion, analysis, and alignment of pipeline integrity data using industry 4.0 technologies.

Fathom Pipeline is a multi-level process to capture the value of pipeline data and address optimal maintenance planning for pipeline systems and credible threats.

 

Fathom Pipeline is to:

  • Enhance pipelines performance
  • Optomize OpEx
  • Reduce failure probability
  • Involve proper inspection and repair decisions
  • Increase safety and reliability
  • Visualize the pipeline
  • integrity by GIS
Fathom Wells Modules (12)-02

Management Console KPI’s

Geospatial Data
Augmented Reality
OpEx Optimization
In Line Inspection
Facilities Integrity Management
Corrosion Growth Rate

Coating

Cathodic Protection
High Consequences Area
Facilities Integrity Management
Remaining Lifetime
Pipeline Remedial
Action Plans

Short term/ Long term

Pipelines Integrity
Assessment
Flow Lines
Integrity
3rd Party
Applications

Data Integration and Ingestion

Pipeline Standard Data model UPDM

Data Analytics and VisualIzation

Management Console KPI’s

 Identify, monitor, and control KPIs attribution to a behavior or process informality throughout the pipeline system

Establish practical and measurable KPIs for pipeline owner/operator

Implementation of KPI in Engineering and Management at different levels

Outline pipeline Integrity KPIs (Practical and Measurable)

Enhance decision-making process

Maintain and increase safety compliance

Proactively identify pipeline risks

Provide license to operate mechanisms based on pipeline KPIs

DSS (Decision Support System) for pipeline rehabilitation, retirement, sectional replacement, and other decisions

GIS based Pipeline Platform

Integrate seamlessly with PODS and UPDM data model for universal data compatibility

Visualize spatial data

Prepare system renewal plan in a map view and update reports of the newly identified HCA and DC/AC interference susceptible locations were identified

View the anomalies in context to their geographical location. This location guidance helps determine the attributing root cause resulting in specific density or spread of anomalies

Simplify multiple ILI run comparisons based on GIS Data

Reduce the manual effort towards the comparison

Perform effective ILI run comparison

Centerline the pipeline components, anomalies, and pipeline maintenance. Do a reroute by adding or removing the pipe from the system with multiple database versions that represent the pipeline state. It may include cutting a capping pipe, laying the new centreline, and adding station equations

The ILI, pipe tally report combined with GIS data allows segmenting the pipeline based on the typical cross obstructions such as rivers, roads, railways, pipeline, cables overbridge, including other obstacles

Unified Data Management

Transforming all data types of pipeline operation, and integrity into Fathom pipeline data models in a unified data repository based on industry-standard enable pipeline operators to improve the quality, quantity, and timeliness of pipeline information managed. It helps pipeline users to communicate, acquire, ingest, exchange data, and unify it with other third-party applications for holistic data analysis and create new value of ML application

The unified data model is compatible with the open industry standards as well as PODS 7.0 and UPDM

It provides better business processes and workflow. Pipeline integrity users will experience reduced data transfer between software applications and multiple databases; clear, concise definitions; plus the ability to clearly delineate data ownership

Fathom unified data model covers all aspects of pipeline operations (asset, information, inspection, integrity management, asset information, regulatory compliance, risk analysis, history, and operational data) that pipeline companies have deemed mission-critical to a successful management of natural gas, and hazardous liquid pipelines

ILI Enterprise

Fathom Pipeline is the leading provider of statistical analysis in support of integrity management for midstream oil and gas pipelines and has developed a range of innovative methods for corrosion analysis and inspection data. These methods o er a significantly more representative view on pipeline condition and remaining life, compared to traditional data analysis methods and application of inspection data in pipeline integrity assessments. Application of Fathom pipeline analysis methods leads to significant benefits to pipeline operators through, for example, justification of extended operation or more reliable identification of threats to pipeline integrity. To apply analytical studies with ILI enterprise (viewer, charts, Pipe tally, PODS 7.0 NextGen)

Advanced analytical techniques to detect, inspect, and evaluate threats to the pipeline’s integrity subject to acute environmental conditions

Intensive engineering analysis delivers critical charts that ease the overhead of analysing a vast volume of ILI data (in the form of spreadsheets and reports)

Extends comparative analysis for validating and predicting behavioral characteristics of the pipeline, which is significant to savings and safer pipeline operations

Verification of ILI operation (Sensor loss, Magnetization level check, Velocity checkpoint) to determine next ILI (ILI interval, performance-based)

ILI Comparison

Simplify multiple ILI run comparisons based on GIS Data (4 ILI run comparison) and empowered by AI Fathom AI engine

Reduce the manual effort needed for comparison

Leverage the GIS data integration to immediately perform effective ILI Run comparison

measurement errors or uncertainties that depend on the time interval between consecutive runs, compatibility of technology, and vendor

Overcome the complexity of the wide variable mix of spatial data with often unknown accuracy that Pipeline GIS data come with

Continuous improvement. Machine Learning algorithms in the ILI comparison module are capable of learning from the data uploaded in the system (ILI files)

Corrosion Growth Rate

Predict and determine the corrosion rate in pipeline (internally and externally) based on machine learning algorithms

 

Plan best measurement to prevent, mitigate and monitor

Remaining Lifetime

Calculate the remaining lifetime of a pipeline based on corrosion rate

Predict and assess the remaining lifetime including e ective strength of the pipeline based on the ILI data

Determine the remaining lifetime of each segment of the pipeline compared to the entire pipeline

Project the point where the structure might fail in the future

Enable all standard pipeline lifetime calculation methods, allowing every user to choose the best fit for their analysis at pipeline segment level review

Recommend tailored operating conditions that will help extend the pipeline lifetime

Granularity of lifetime prediction (allowed at segment level) mitigates overlooked risks

Comparatively determine the pipeline anomaly repair cost against the remaining lifetime

OpEx Optimization

Determine required OpEx for each year of operation at the beginning of implementation till end of design life

Revenue Increase

Optimize resource utilization

interval

Arrange spending towards repairs on critical and export pipelines

Ensure concern-less situation for upper management that all important pipelines are in good operative integrity in the organization

Coating

Provide integrity status of pipeline coating

Combine coating survey reports (such as DCVG) with ILI and CP reports

Assess the e effectiveness of corrosion protection on buried steel structures and help locate coating failures

Log and utilize coating survey data to isolate deficiencies in their cathodic protection (CP) strategies

Extend to compare past, present data, calculates the defect severity using the raw DCVG data, then applies corrections and plots severity graphs

Cathodic Protection

Unique module to combine DCVG for the purpose of detecting coating survey with onshore pipelines and CIPS reports within one platform to analyse the effectiveness of corrosion protection on buried pipelines to identify the location of coating failures

Special module to adjust the settings in Trans-Rectifier for Onshore pipelines

Assess the effectiveness of CP system along the pipeline route

High Consequences Area

Identify which pipeline segments of the transmission system are located within High Consequence Areas and / or unusually sensitive areas

Simulate time-based transport routes

Identify and obtain the location, size, and operating characteristics of the line, as well as the identification of structures, specified sites, and their intended usage along the pipeline right-of-way

Allocate risk points to prohibit or reduce the risk of fire and explosion resulting from pipeline leaks or ruptured gas at HCAs that consists of highly populated areas and identified sites

Monitor the growth of unusually sensitive areas

Facilities Integrity Management

Regalute valve stations, pig traps as well as other ancillaries as part of pipeline system integrity

Prevention of major failures in pipeline equipment

Detailed also easy-to-access valve database

Early detection of valve & actuator deviations

Condition-based maintenance scheduling

Increased valve availability and performance

Prediction of MTBF, MTTF and valve failure rates

Pipeline Remedial Action Plans

Forecast and recommend anomalies that need immediate attention for repair, and that can be surveillanced for future repair needs

Plan for a safe repair execution

Accurately forecast repair needs for the pipeline

Budget the cost towards repair and maintenance

Identify risk factors towards executing repair jobs safely

Program module for predicting remaining lifetime also predicting the status of its fitness for service

Program validation modules that include regulations to assess, evaluate, repair and validate the integrity of hazardous liquid pipeline segments in event of leak or failure

Pipeline Integrity Assessment

Assess integrity status (immediate and future) for metal loss anomalies

Assess circumferential oriented metal losses

Solution to challenges of integrity assessment (immediate and future) as per different clustering rules, tool tolerances, different MAOP, and others

Decision Support System (DSS) for integrity engineer and asset owner

Operation and maintenance plan (Immediate action plan, Short term action plan, Long term action plan) for Prevention, mitigation and monitoring pipelines

Solution to challenge of change from prescriptive integrity approach to performance-based approach

Solution to challenge of having practical and measurable KPIs for different pipeline and regions

Solution to OpEx optimization and management challenge for repair as well as de-rate of a in-scope pipeline

Flow lines Integrity

Develop a model (in Jupyter with a full demonstration using trusted open-source tools such as TensorFlow, Keras, Pytorch and Scikit-learn to predict integrity status of flow lines)

Identify hot spot location of flow lines based on hydraulic simulation and flow assurance analysis

Set measurable and practical KPIs from integrity prospect of flow lines

Develop geographic platform for network of flow pipelines

Augmented Reality

Display and diagnose pipeline health including status in real-time

Enhance the visualization of digital information coming from sensors

Facilitate pipeline technicians control equipment effortlessly

Improve efficiency and decrease field service duration

ROW surveillance for office team supervision

Drastic reduction in training time: from 4 days (1 in classroom + 3 on the field) to only 1⁄2 day in classroom

Reduce activities accounting time and increase the quality of the information collected

Enable a paperless environment and save kWh energy needed for office-field linked works/projects

Third Party Applications

Fathom can integrate with Third-party apps and services. It help pipeline users to communicate, acquire, ingest, exchange data, and unify it with other third party applications for holistic data analysis view and create new value of ML application

For example, RTTM based apps, Multiphase simulation (like Olga), Hydrocorr, ECE for corrosion growth rate, Pipeline Simulation software, CrackWise for assessment of fatigue strength in the location of cracks, Other Finite Element Analysis, Permit to Work, SAP PM work order, etc

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

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