Services
Full-Stack Software Design
In addition to Nvicta AI’s remote operations platform, our team has years of experience developing and contributing to low latency, high-performance web applications for clients such as Bosch, Lyft, and Grafana. Our stacks have included Python, NodeJS, C++, ReactJS, VueJS, SQL and NoSQL databases, and other technologies such as SocketIO, RabbitMQ, and Kafka.
In the drilling domain, our team designed and deployed custom real-time software for two operators. Both projects involved the development of a web API, a front-end application with custom visualizations and dedicated databases
Data Science and AI
Nvicta's team has deep experience in developing machine learning models for:
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Time-series prediction and event detection
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Image processing, classification, and object recognition
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Natural language processing for text classification and real-time semantic analysis
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Nonlinear regression model development and fusion with physics-based models of drilling processes
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Classification model development for root cause analysis of tool failures or drilling events
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Optimization algorithm design
Our team will work with you to identify and implement the correct array of AI solutions while ensuring your data is used effectively to maximize project success. This includes working with your team to design a custom data warehouse/lake architecture to optimize data utilization with state-of-art tools and platforms.
Control System Design and Automation
Our team has successfully developed and deployed several rig automation technologies on land and offshore rigs. Nvicta’s team was involved in designing and developing a pipe oscillation system for directional sliding that is currently in operation on several rigs.
The system was deployed using a Siemens PLC with cloud monitoring capability on various drives, including ABB and Converteam. A C++ version of the system was developed and offered as an app on the NOVOS platform.
Our team also designed custom hardware and software to implement the z-torque control algorithm for various rigs in collaboration with a top-drive manufacturer. We Implemented the system on a NI cRIO FPGA system and successfully commissioned it on an offshore top-drive system. The deployment involved the complete design of the HMI and WITS data acquisition system.