Previous Conferences

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

 

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.

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

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.

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

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.

Digital Oilfields USA Summit

Designing Systems to Enable Real-time Surveillance and Optimization

SmartFields Summit

Real time forecasts to improve your bottom line

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.

SPE Digital Energy Study Group

Bringing disciplines together through better software integration

 

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.