Technologies
Condition Based Maintenance
Drilling Riser Application
Laser ID
Profilometry
Laser-based Pipe ID
Inspection
Triplex Pump Fault Detection
Predictive Maintenance
Service
NeoSight for
Coke Drums
Enhanced Health Monitoring System
Condition Based Maintenance for Drilling Risers
This approach utilizes a life cycle condition based monitoring (CBM), maintenance and inspection system that can be deployed on the MODU, enabling resources to be deployed only when necessary, instead of on a calendar interval.
Triplex Pump Fault Detection
Predictive maintenance service using machine learning
Using only pressure
measurements as input
Machine Learning
Model
NeoSight for Coke Drums
NeoSight compiles the collected information from your coke drums and compares it with your past results, and the results from comparable sites around your company to help you make better-informed decisions — both short-term and long-term.
Advanced integrity management through automated data analysis and predictive modeling
With NeoSight You Can...
More accurately predict, plan, and prioritize your maintenance and capital spending
Minimize emergency turnarounds due to unexpected failures
Anticipate the safety hazards that a failure can produce
Explore 'what if' scenarios to identify opportunities for optimizing your processes
NeoSight - FPS
Floating Production Systems
Application
Frac Spread
Optimization
Failure from Acoustic Resonance
TorqueStar
Advanced Combined Load System
Digital Image
Correlation
Full Field Tacking of Stresses
NeoSight for Floating Systems
NeoSight is an automated standalone integrity management system, which enables data to be gathered from existing instrumentation to create digital models that provide a holistic representation of asset response, including fatigue. NeoSight’s integrated models create ‘virtual sensors’ to let you see the performance of critical components regardless of sensor coverage or availability, giving you a more comprehensive picture of your operations and alerting you to potential problems before they arise.
The NeoSight Advantage
Dashboard and Event Driven Alerts
Virtual Fatigue Monitoring
Reduces Non-Productive Time
Regulatory Compliance and Best Practice Assessment
Real-Time Health Monitoring
Predictive Forecasting
Reduces Inspections and Maintenance Demands
Support Life Extension Efforts
Frac Spread Optimization Services
This piping arrangement can lead to adverse acoustic interactions between pumps that greatly exacerbate fatigue damage to pumps (both power and fluid ends) and piping components.
Frac jobs consist of multiple high pressure pumping units plumbed in parallel to a common manifold (“missile”).
Every frac job has a unique acoustic “signature” due to variations in layout, piping length, pump number and type thus, each layout must be characterized independently to avoid resonant interactions.
TorqueStar Combined Load Testing
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TorqueStar is a state of the art combined load testing system that simultaneously reproduces downhole loading conditions on tubulars and downhole equipment during all drilling and completion operations. TorqueStar technology offers the ability to understand how the application of simultaneous torque with combined loading can ultimately affect the performance of equipment subjected to fatigue, overload, drift and sealability.
Applications:
Downhole Tool Testing
Evaluating Casing Connection Performance for
Multi-Fractured Horizontal Wells
Simulating Rotating Through a Dog Leg Curvature
Combined Load Testing
Specifications:
Over 20,000 psi Internal Pressure
Over 30°/100 ft. Bending While Rotating
35,000 ft.-lbs. Applied Torque During Testing
Up To 7 in. Pipe Diameters
High Strain and Displacement Accuracies
Digital Image Coorelation
DIC is particularly valuable for:
Digital Image Correlation (DIC) is a photogrammetry technique where two cameras are used stereoscopically to capture images of a test article. Advanced software then tracks surface movement of the part. The two cameras are used together to determine the three dimensional coordinates using stereo-triangulation.
Measuring surface contours, deformations, and strains on material surfaces with complex geometries
Use in conjunction with our test labs with full scale and sub-scale testing capabilities to provide full-field strain and displacement data. Lab and field testing capabilities.
Extreme strain applications
High strain and displacement accuracies
Customized solutions for a wide array of applications
Laser ID Profilometry
Laser ID Profilometry is the non-contact, nondestructive testing technique used to scan and map the surface of an object. Recent advancements in Laser ID Profilometry has made it a useful and practical NDE tool for many applications in the oil field and midstream pipeline industries. Using the high-performance BEMIS (Bore Erosion Measurement and Inspection System) tool we can quickly and accurately produce high-resolution 3D maps of a components inner surface. In addition, this advanced level of inspection can benefit those with a stake in identifying and managing risks, and the deterioration of tubular assets.
Determine material loss due to pitting and/or mechanical wear.
Characterize features to determine if they were caused by wireline, drill pipe, corrosion, or a manufacturing flaw.
Perform a detailed analysis of the entire tube, including the pin end and ID weld dimensions, including locations where UT cannot provide adequate inspection.
Reliably determine the condition of drilling
riser joints
Consistently predict when vital components
will require service
Accurately assess remaining component life
At Stress Engineering Services, we use advanced laser-based measurement for the inspection of oilfield equipment and pipe/tubing, to implement a new standard process for collecting critical riser data. Our aim is to mitigate the costs and time associated with essential MODU drilling riser inspections, by empowering operators to:
Transit and Logistics
Manufacturing & Supply Chain Sustainability and Stability
Aerospace
Engineering
Advanced Design, Analysis and Testing Services
IoT Applications Laboratory
Sensor Development, Data Acquisition, and Embedded Electronics
Digital Flex
Joint Angle
Quasi-static and Dynamic Angles
Temperature Predictive Analytics (TPA) is being used in combination with the Managed Services provided by ALOE to plan routes with environmental and transit factors considered. TPA provides the ability to select the appropriate equipment type analytically based on weather and transit time forecasts. This predictive insight provides opportunities to deliver your shipment within a temperature threshold as cost effectively as possible.
Advanced Logistics Optimization through Engineering (ALOE) Group is innovative logistics services organization that delivers deep physics-based package engineering, proprietary mobile verification test systems, and seasoned, business savvy logistics and supply chain expertise.
Stress Engineering Services and ALOE Group are unlocking millions of dollars in logistics cost savings with our unique physics-based approach to data management, savings identification, and problem solving skills that bridge supply chain and engineering.
Transit and Logistics Sustainability and Stability
The NeoSight Advantage
Aerospace Engineering
Force - 4
Innovation and
Collaboration Group
Risk Identification
in Pipelines
Machine Learning with Machine Vision
Fatigue Monitoring Services
Realtime Fatigue Monitoring System (RFMS®)
Additive
Manufacturing
Validation and Verification Services
Support safe and productive operation
Monitor fatigue damage in critical areas, such as the wellhead, conductor casing and riser
At Stress Engineering Services, we developed the Realtime Fatigue Monitoring System (RFMS®) to provide field measurements of stress and fatigue on drilling risers, wellheads and other subsea systems in near real time. The objective of the RFMS is to monitor riser fatigue damage caused by VIV and wave loading. The RFMS utilizes our advanced vibration monitoring instrumentation and data acquisition capabilities, along with precise analytical modeling information, to determine real-time stress and fatigue damage located anywhere in the riser system, as well as the wellhead and conductor casing.
Fatigue Monitoring Services / Damage Assessment
Force-4 is a design and innovation engine for product creation, development, and engineering uniquely built for today’s fast-moving, lean-focused environments. Our strength is in our ability to synthesize new market demand with the creation of differentiated high value product experiences. Our teams of strategists, industrial designers and engineers build on user, customer and market insights to create viable-to-breakthrough innovation.
Through our imbedded position within Stress Engineering Services, we are able to seamlessly connect world class engineering earlier as well as comprehensively throughout the development process as needed. This enables us to do more with less, increase speed to market and significantly reduce the chances of product issues after launch.
Opportunity Finding
Define Experience
Additive Manufacturing (AM)
As the viability and usage of additive manufacturing expands across multiple industries, the need to understand the structural integrity of additive manufactured (AM) parts in wide ranging applications is becoming increasingly more critical.
Validation and Verification Services
Defining AM strategy and entry points:
Materials/Standards
Equipment Manufacturers
Designers
End users – Validation & Verification
Develop
Deliver
Sustain
Planning
Concept Design
Design Verification
Design Transfer
Production
Discover
Part and/or Printer Characterization (Validation)
Analysis
Testing
Material Characterization
Achieve an effective joint rotation, inspection and fatigue tracking program
Minimize downtime
Validate and improve mathematical models
Subsea Vibration Data Logger
Vibration in deepwater applications most often occurs in the form of wave-induced motions, vessel induced motions, vortex induced vibration, or flow induced vibration. The Subsea Vibration Data Logger (SVDL) installs directly on subsea equipment in order to monitor these and other forms of vibration and to assess fatigue.
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Machine/Deep Learning with Machine Vison
From facial recognition in mobile phones to self-driving cars, artificial intelligence and machine learning is changing everything. Machine learning has a huge potential to be used in asset integrity management to ensure operational safety. In this example, Stress Engineering Services used machine learning, combined with engineering domain knowledge, to determine the severity of dents in pipelines.
Risk Identification Services in Pipelines
All ML-based models are founded on fundamental concepts of linear algebra, statistics and calculus. There can be several types of ML problems. For example, the pipeline dent identification problem has a labeled input where each dent may be labeled as a ‘high risk dent’ or a ‘low risk dent.’ These types of problems are known as ‘supervised learning’ as opposed to ‘unsupervised learning,’ where data are not labeled.
The ML model is trained by feeding the computer the training data set. After the model is trained, it is tested on the test data, which the model has not seen before. This practice ensures that the model is not overly tuned to the data it is trained on – known as overfitting.
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Digital Flex Joint Angle Monitoring System
The digital flex joint system uses the core technology of the award winning and patented real-time fatigue monitoring system (RFMS ) and subsea vibration data logger (SVDL) system; the technology has been leveraged and improved to determine quasi-static and dynamic lower and upper flex joint angles in real-time. Data and power transmission are provided through the mux system; which is first successful system of its kind with minimal drift.
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The development adds to the strength of SES’s present technology portfolio of asset-based surveillance systems together with SES’s predictive data analytics and IoT ecosystem to manage and assess client operations. The enhanced level of services provided by this system during drilling operations will vastly benefit those with a stake in identifying and managing risks and any asset deterioration due to key seating.
Characterize features to determine if they were caused by wireline, drill pipe, corrosion, or a manufacturing flaw.
Perform a detailed analysis of the entire tube, including the pin end and ID weld dimensions, including locations where UT cannot provide adequate inspection.
IoT Applications Laboratory
At Stress Engineering Services, we use edge analytics, artificial intelligence, and machine learning to develop sensing techniques for the most challenging problems. We specialize on transforming machine components and mechanical elements into on-line IIoT-capable sensors designed to provide real-time operational data for equipment efficiency and process improvement.
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Medical:
- Pharmaceutical Packaging
- Medical and Pharmaceutical Device Assembly
- Drug Manufacturing Processes
Manufacturing:
- High Speed Automation
Energy:
- Floating Production Systems
- Offshore Drilling Systems
- Petrochemical / Refining Process Vessels
Centered on sensor development, data acquisition, and embedded electronics
Heavy Construction Equipment
Aerospace
Amusement / Theme Park Rides
Automotive / Rail
Food and Beverage:
- Processing and Packing Systems
Opportunity Finding
Define Experience
Design
Opportunity Finding
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Analysis
Opportunity Finding
Define Experience
Testing Services and Custom Test Systems
Opportunity Finding
Define Experience
Materials Science and Engineering
Opportunity Finding
Define Experience
Instrumentation, Data Acquisition and Avionics
Computational Modeling and Simulation
Computational Modeling
and Simulation
Unmanned Systems and Robotics
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