Upcoming & Past Events
University of Houston Research Seminar Series
Scaling Data and AI for Upstream: Andy Wang, Ph.D., CEO, Prescient Devices Inc.
Data science is experiencing strong growth in oil & gas, but scaling data science solutions to production is still a major challenge. This talk will explore the top challenges in scaling production-grade data science solutions from generating high-quality data at massive scale to solving computing resource limitations and database bottlenecks. We will use a drilling digital twin solution as a use case to show how to scale this solution to support 100+ rigs and process 2.1-Billion real-time data points and 57-Million database queries per day
IADC Annual General Meeting (AGM)
Real-time Data Wrangling through Distributed Data Engine Technology: Russell Whitney, IIoT Manager, Precision Drilling, Andy Wang, CEO, Pablo Acosta-Serafini, Prescient Devices, Inc.
Our presentation introduces a distributed low-code data engine capable of working with massive real-time data from warehouses like Snowflake. This drag-and-drop, hierarchical, and graphical data workflow builder efficiently processes data for upstream analytics. It enables quick engineering of complex real-time data streams, supporting tasks like anomaly detection. The engine’s scalability allows easy deployment and customization, facilitating rapid scaling across rig fleets. We will then showcase how this data engine serves as the cornerstone for implementing a digital twin solution for rig operations, highlighting the transformative impact of rapid data wrangling on rig operations.
Maintenance and Reliability Symposium (MaRS)
Building effective visualization for reliability monitoring: Nathan Reese, Manager Alpha Remote Operations, Precision Drilling, Andy Wang Ph.D., CEO, Prescient Devices Inc.
We will introduce advanced visualization techniques designed specifically for reliability monitoring in the manufacturing and energy sectors. We will demonstrate the effective use of visualization tools to anticipate potential failures and fine-tune maintenance schedules, ensuring superior operational reliability and efficiency.
SPE ATCE 2024
Deploy distributed real-time data pipelines across cloud and edge to process rig data for easy data fusion and processing: Russell Whitney, IIoT Manager, Precision Drilling, Andy Wang, CEO, Pablo Acosta-Serafini, Prescient Devices, Inc.
We will showcase these technologies’ roles in enhancing predictive capabilities, optimizing resource allocation, and improving geological assessment accuracy. We will delve into advanced data analysis techniques that reduce uncertainties and enhance the efficiency of exploration and production processes.
Intel Partner Alliance Webinar Series
Driving Intelligence at the Edge for Energy and Industrial Infrastructure: Matthias Wieland, Global Partnermanagement and Sales Head Europe, Bosch, CR Prahallad, Head of Customer Solutions, Bosch, Andy Wang, CEO, Prescient Devices Inc.
The Bosch* Digital Twin – Integrated Asset Performance Management (IAPM) improves plant machinery and processes by addressing predictable business challenges. It offers engineering insights to enhance Overall Equipment Effectiveness (OEE), reduce unplanned downtime and maintenance costs, and improve quality. Business insights from IAPM help understand asset criticality, improve plant efficiency, and lower failure mitigation costs through predictive maintenance. This approach supports Reliability Centered Maintenance and Total Productive Maintenance. Its modular design and collaborative, customer-involved solution building provide a unique, immersive experience.
IADC Advanced Rig Technology (ART)
Real-time Data Wrangling through Distributed Data Engine Technology: Russell Whitney, IIoT Manager, Precision Drilling, Andy Wang, CEO, Pablo Acosta-Serafini, Prescient Devices, Inc.
Our presentation will introduce a distributed low-code data engine that efficiently processes real-time data for upstream analytics. This allows quick engineering of complex real-time data streams and supporting tasks like anomaly detection.
EAGE Local Chapter: Houston
Technical Talk: The Impact of High-speed, Real-time Data Pipelines on AI and Data Science in Oil and Gas Value Chain, Andy Wang Ph.D., CEO, Prescient
Many AI applications in the oil and gas industry require real-time data. However, this real-time data can come from variety of data sources: sensors, PLCs, SCADA systems, historians, and more. These data sources also have very different protocols, locations, data rates, and etc. This talk will speak on data pipeline technologies that can conquer these data disparity challenges at scale. Use cases in upstream from drilling to characterization to production will be discussed.