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NeoSight - FPS
Features
How it Works
NeoSight - FPS Demo
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Loss of Riser Strake Modules
1
Failed Mooring Line
Hurricane Event
System Monitoring
Story title here
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3
4
Tie-backs & Life Extension
5
Stories
NeoSight has been tracking your riser integrity and has estimated a service life until 2040.
The NeoSight model is quickly updated and the new service life is identified as 2030.
An inspection campaign identifies lost suppression modules.
Quantifying the consequence of the inspection anomaly allows you to:
Identify the Risk Level
Adjust Your Risk-based Inspection Program
Identify the Priority of the Repair
NeoSight is continuously monitoring the facility. The GPS data and virtual offset sensor are highly correlated due to NeoSight’s validated model.
the GPS offset is significantly different than the virtual sensor predictions.
NeoSight’s sensor health assessment identifies that there are no detectable issues with the GPS or environment sensors, but the advanced machine learning algorithm identifies a potential mooring line failure.
NeoSight identifies an anomaly:
An investigation confirms the failure event...
Identifying whether a strength or fatigue overload occured
Updated models will identify any potential system issues with the failed line
The evergreen models can be used to further facilitate the emergency response
is already providing you with the information you need:
A hurricane is approaching your facility!
Previous hurricane assessment work was performed years ago and does not reflect the existing condition of the facility, including any inspection anomalies.
NeoSight has you covered and will send automated notifications of any:
Predictions of Strength Overload or Fatigue Damage
Unexpected Behavior
Excessive Loading of Risers, Mooring Lines or Tendons
Environmental Conditions Exceeding KPI Limits
You will already have the results of NeoSight’s continuous assessment, allowing you to focus your efforts during the restart of the facility.
Before re-manning the facility...
During implementation of NeoSight on a brown field facility, a validation study was performed to compare the NeoSight virtual sensor predictions to the historical measured data.
The validation study reveals that conservative assumptions were used in design. Using more realistic values shows the measured and predicted responses are highly correlated. This valuable insight is passed along to design teams and integrity management teams working on other facilities.
NeoSight identifies that the mooring line tension measurements from load cells are not correlated with the model predictions, although the GPS data matches the offset predictions well. NeoSight sends a notification indicating a potential issue with the mooring line load cells.
Performance Effects Due to Changing Conditions or Inspection Anomalies
After implementation, NeoSight is continuously monitoring the facility performance to identify any:
KPIs That Have Been Exceeded
Sensor Health Issues
NeoSight identifies that the mooring line tension measurements from load cells are not correlated with the model predictions, although the GPS data matches the offset predictions well.
NeoSight sends a notification indicating a potential issue with the mooring line load cells.
NeoSight’s virtual sensors have been tracking the fitness-for-service of your facility and its components. These sensors can predict behavior where installing physical instrumentation is not possible or practical.
The fitness-for-service assessments are kept up-to-date for any changes in conditions or inspection anomalies, identifying the expected service life for each component.
New reserves are discovered nearby, providing opportunities that necessitate a tie-back and potential life extension of the facility.
NeoSight has already determined the fitness-for-service of the facility and identified any systems that may require remediation.
If significant changes are required; NeoSight’s evergreen models can be quickly updated to assess the potential upgrades.
UX / Business Systems Integration
Digital Inspection
Cloud Computing
Edge Computing IT / OT
Machine Learning / Artificial intelligence
Data Cleaning
Sensor Technology and Environmental Loading
Asset Digital Twin / Predictive Analysis
CAPEX
OPEX
HSE
Asset Integrity Management System
What is ?
An automated surveillance and solutions application that safeguards the operation of the riser system, BOP, and operator’s wellhead/casing assembly while maximizing operability and uptime.
Provides decision support to increase asset utilization, minimizes labor and schedule constraints, provides performance monitoring to maximize uptime, and quantifies the remaining useful life enabling asset life extension.
An advanced health monitoring / integrity management solution that incorporates automated data analysis and predictive modeling to improve safety, profitability, and provide better-informed decisions.
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Click each button to learn more.
Offshore Drilling
Offshore Production
Real-time structural assessment using models updated for latest inspection anomalies and measured environments.
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Offshore Systems
Hull & Topsides
Machine learning algorithms identify broken mooring lines. Digital twin provides virtual sensors for mooring line tensions and angles.
Mooring Lines
Real-time fatigue monitoring using digital twin capabilities and/or our patented RFMS®. Perform instantaneous assessments after severe weather events. Machine learning algorithms provide VIV detection.
Risers
Identify flow-induced vibration using subsea vibration data loggers (SVDLs).
Jumpers
Fault identification of pumps using physics-based models coupled with machine learning algorithms. Predict failure of individual pump components providing prognostic maintenance.
Subsea Equipment
Digital twin models tied to inspection data provide lateral buckling identification and assessment.
Flowlines
Identify extreme motions or vortex-induced motions.
Floater Motions
Evergreen Assessment Models
Assessment of Unexpected Events
Asset Integrity Management and Life Extension
Risk-Based Inspection
Increased Production and Operating Envelopes
Identify whether existing assets can support tie-back and expansion projects.
Click each icon to learn more.
Maintenance and Repair
Regulatory Compliance
Assess fitness-for-service of the asset in its current condition. FFS is determined for past, existing and future conditions.
Quantifying loads experienced by components permits the implementation of risk based inspection (RBI).
Quantifying effects of anomalies on fitness-for-service identifies priority and timing of required maintenance and repairs
Physics-based models are continuously updated, eliminating costly efforts to develop ad-hoc models.
Identify whether the asset is operating within regulatory requirements.
Identify whether the asset response within allowable limits based on standard and advanced KPIs.
Instantaneous assessment after a major event such as a hurricane or loop current.
floating production systems
Event-Driven Alerts & Notifications
Automated, role-based alerts and notifications are provided through e-mail, existing systems or NeoSight’s dashboard.
1 / 10
Use the arrows to explore the features.
Virtual Sensors
Predicted responses from validated models can replace or augment existing sensors.
2 / 10
Automated Anomaly Assessments
Automated fatigue and strength assessments quantify effects of anomalies on fitness-for-service and eliminate bespoke assessments.
3 / 10
Sensor Health and Data Analysis
Automated data processing and cleaning identify when sensors are malfunctioning. Advanced tool use model predictions to further identify sensor issues.
4 / 10
Automated Reporting
Stream-lined reports provide easily digestible summaries of asset and component health.
5 / 10
Verified Data & Models
Eliminate assumptions & conservatism. Comparisons of measured sensor data and physics-based model predictions provide self-verification and identify discrepancies.
6 / 10
Response Forecasting
Turn weather forecasts into response forecasts to predict motions, angles, stress, etc.
7 / 10
Flexible Integration
NeoSight can be integrated into existing systems or provided as stand-alone portals and applications.
Customizable
Customized reporting and dashboards can be developed to provide optimized integration into existing work processes.
9 / 10
8 / 10
Expandable
NeoSight can be expanded to include additional model types and data sets.
10 / 10
Environmental Data
Access
Analysis Tools
Visualization
Offshore Facility Data
Virtual Models
Predictive Engine and Analytics
Portals and Applications
Client Business Systems
Inspection Data and Anomalies
View
Facility 1
Facility 2
Integrity Management
Dashboard
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Map
Click each button to explore the demo.
Learn more about
Learn More
Visit our website @ https://www.stress.com to learn more.
Contact Us
Email us at neosight@stress.com for more information.
Call Us
+1.281.955.2900
Email Us
neosight@stress.com
Website
https://www.stress.com
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NeoSight - DCI
NeoSight - DCI Demo
MODU
Drilling Riser
Wellhead and casing system condition assessment tracking throughout field development from drilling, completion, and through production activities. Load and bending moment evaluation for survival events. Assess fatigue integrity of the wellhead system, welds, casing and casing connectors.
Wellhead & Casing
Identify static and dynamic loads to assess the strength and fatigue integrity of the casing and casing connectors.
Casing
Real-time visualization of floater motions using GPS and digital twin predictive models.
Real-time drift-off/drive-off watch circles based on:
Real-time wave and VIV fatigue monitoring using the digital twin model and/or SES’ patented RFMS. Upper and lower flex joint angle tracking using instrumentation and/or digital twin models for safe drilling and completion operations. ABS certified condition-based maintenance (CBM) program. Automated connected operability assessments. Detect VIV with advanced algorithms. Perform instantaneous assessments of forecasted severe weather events.
Measured and forecasted environmental conditions Real-time MODU GPS position and vessel heading Real-time riser tension Real-time drift-off/drive-off trajectory predictions. User-defined criteria
Maximize operability window by optimizing MODU location and riser tension, (e.g., eliminating key-seating due to excessive flex joint angles).
Asset Risk Mitigation
Enhanced Operating Envelopes
Dynamic Watch Circles allow safe operation of the drilling system in conditions disallowed by traditional connected operability analysis.
Wellhead System Monitoring
Optimized Maintenance and Repair
Flex joint optimization mitigates damaging keyseating events. Real-time fatigue assessments guide targeted and timely inspections.
API 16Q Alternative Compliance: Extend beyond five-year minimum inspection interval using condition-based performance data.
Identify whether the riser and wellhead response are within allowable limits based on standard and advanced KPIs.
Drilling Completions & Interventions
Automated, role-based alerts and notifications are provided through e-mail, existing management systems or a custom NeoSight's user interface.
1 / 9
NeoSight can predict riser, wellhead & casing curvature and loading at any point (including at flex joints)
2 / 9
Optimized Operational Feedback
Real-time analysis output can be employed to optimize vessel position and riser tension to minimize flex joint angles and mitigate keyseating damage.
3 / 9
Streamlined and customized automated reports provide easily digestible summaries of asset and component health.
4 / 9
5 / 9
Operational envelope can be predicted and forecasted up to 7 days in advance using third party metocean forecast data.
6 / 9
8 / 9
7 / 9
NeoSight can be expanded to include additional model types (e.g., tethered drilling systems) and data sets and data sets.
9 / 9
Rig Data and Information
Equipment Configuration
Subsea Vibration Data Logger
DPS Officer
Subsea Engineer
Operations Engineer
Riser Engineer
Operator / Client