Industry Conferences 2017
Information Management & Analytics, March 2017
Moving towards a Single Version of the Truth throughout the Data
Texas Open Innovation Conference, March 2017
Opportunity Identification: Product and Service
Supplier v Consumer - Does the supplier drive innovation? Or the consumer?
Machine Learning in Oil and Gas, March 2017
Road Map to Constructing a Top-Down Big Data and Machine Learning System
Data Driven Production, June 2017
Production Engineering in the 4th Paradigm
Developer Conferences 2017
North Houston .NET User Group, July 2017
Houston TechFest, September 2017
Azure Machine Learning
Azure Machine Learning is a cloud predictive analytics service that makes it possible to quickly create and deploy predictive models as analytics solutions. Getting started is easy. The first working prototype is an easy evening project. But Azure Machine Learning will grow to extremely complex projects. This session will demonstrate initial projects utilizing multiple data science principals.
Defensive Programming
Will your application be rock solid and maintainable? Common principals are share by most rock solid and maintainable applications.
Industry Conferences 2016
Data Driven Production Optimization Conference
Effective Not Just Efficient
Machine Learning in Oil and Gas Conference
Roadmap to Constructing a Top Down Machine Learning Paradigm
SPE Digital Energy Study Group
Machine Learning: Fundamentals and E&P Applications
Developer Conferences 2016
Houston TechFest, September 2016
Coding Standards
Every project has a development standard.
Sometimes the standard is “if it was hard to write, it should be hard to maintain.”
Developing, and following, a corporate Best Practices standard will lead to continuity, maintainability, robustness, and pride.
Industry Conferences 2015
Digital Oilfields USA Summit
Guiding the Learning Organization in the Fourth Paradigm
IoT in Oil and Gas
Application of Data Collected Through the IoT
Data Driven Production Conference
Data-Driven Working Practices: Bridging Knowledge Gap
Digital Oilfield Innovation Summit
The Holistic Approach: Bringing the Data Together to Make Sense
Developer Conferences 2015
Houston TechFest, September 2015
Coding Standards
Every project has a development standard.
Sometimes the standard is “if it was hard to write, it should be hard to maintain.”
Developing, and following, a corporate Best Practices standard will lead to continuity, maintainability, robustness, and pride.
Sprint 0 Projects
Every project has a starting point.
Whether called project Kick-off, Project Execution, or Sprint 0, from this basis the project begins to create and deliver value.
Sprint 0 will begin the program execution – from Sprint 0, the team is ready and able to deliver business value that is usable and potentially releasable.
Industry Conferences 2014
Digital Oilfields USA Summit
Designing Systems to Enable Real-time Surveillance and Optimization
SmartFields Summit
Real time forecasts to improve your bottom line
Developer Conferences 2014
Houston TechFest, September 2014
Energistics Standards: WITSML – PRODML - RESQML
Three standards have been developed for the upstream digital oilfield. Adoption is ongoing but the learning threshold can be daunting.
This session will introduce WITSML, PRODML, and RESQML, and help the participant begin the process of understanding these XML-based standards. The second part of the session will highlight two popular .NET libraries and demonstrate basic well creation and query techniques using example C# code.
Industry Conferences 2013
SPE Digital Energy Study Group
Bringing disciplines together through better software integration
Developer Conferences 2013
Houston TechFest, September 2014
Energistics Standards: WITSML – PRODML - RESQML
Three standards have been developed for the upstream digital oilfield. Adoption is ongoing but the learning threshold can be daunting.
This session will introduce WITSML, PRODML, and RESQML, and help the participant begin the process of understanding these XML-based standards. The second part of the session will highlight two popular .NET libraries and demonstrate basic well creation and query techniques using example C# code.
Industry Conferences 2012
SPE Digital Energy Study Group
Drilling Data Management: Southwestern Energy’s Vision
Industry Conferences 2011
SPE Technical Forum Series
Turning real time data into decisions
Lone Star College High Tech Conference and Career Fair
Data and Information Trends in O&G
Industry Conferences 2009
Lone Star College High Tech Conference and Career Fair
Disaster Planning and Recovery
Lone Star College High Tech Conference and Career Fair
Legal Issues