Sold by: Xecta Digital LabsÂ
Deployed on AWS
We provide automated production optimization Opportunities for every well, daily. They result in increased investment-free barrels or cost reductions, covering wells from natural flow, through any type of artificial lift type, to abandonment.
Overview
Xecta leverages modern grade data infrastructure in the cloud, historized rate-pressure information from 100s of sensors in the field, setting up highly distributed and continuously streaming analytical models and workloads.
Autonomous well-twins compute pressure evolution and downhole pressure for all wells and reconstruct entire history from free-flow to artificial lift. Our solution provides continuous calibration of well-twins to live incoming sensory data with self-driving models using recursive learning procs
Highlights
- We provide companies with actionable and timely insights that remove the uncertainty surrounding asset and well optimization
Details
Sold by
Delivery method
Deployed on AWS
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Pricing
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Dimension | Description | Cost/12 months |
|---|---|---|
Small asset | less than 500 wells | $200,000.00 |
Medium asset | more than 500 up to 1,000 wells | $500,000.00 |
Large assets | more than 1,000 wells up to 3,000 wells | $1,000,000.00 |
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Delivery details
Software as a Service (SaaS)
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Support
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Updated weekly
By Xecta Digital Labs
By Cirrus Link
By MeghaAI RAIN
Top
100
In Analytic Platforms
Top
10
In Device Connectivity, ML Solutions, Big Data
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In Industrial IoT
AI generated from product descriptions
Data Infrastructure
Leverages cloud-based, distributed data infrastructure with continuous streaming analytical models
Sensor Data Processing
Processes historical and real-time rate-pressure information from hundreds of field sensors
Autonomous Well Modeling
Creates autonomous well-twins that compute pressure evolution and reconstruct well history across different production stages
Machine Learning Calibration
Implements self-driving models with recursive learning procedures for continuous sensor data calibration
Analytical Workload Management
Supports highly distributed analytical workloads for comprehensive well performance analysis
Data Protocol Standardization
Utilizes open standard MQTT protocol for seamless operational technology data transmission
Data Integration Mechanism
Enables direct connection between industrial operational data and Snowflake data platform with minimal configuration
Data Transformation
Eliminates complex OT protocol conversions and time-consuming data transformation processes
Connectivity Architecture
Designed as an Amazon Machine Image (AMI) for rapid deployment in cloud infrastructure
Interoperability
Supports bridging operational technology data with big data analytics and machine learning platforms
Digital Twin Simulation
Enables comprehensive digital representation of plant floor infrastructure and machinery
Machine Learning Model Deployment
Supports deployment and monitoring of machine learning models for predictive maintenance
Real-time Data Visualization
Provides configurable dashboard with live data streaming and insights generation
Anomaly Detection
Utilizes AI/ML algorithms for detecting, diagnosing, and monitoring asset health conditions
Asset Performance Tracking
Offers comprehensive navigation and monitoring capabilities for industrial assets
Standard contract
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