As E&P companies expand their development programs, the demand on their engineering teams to run production forecasts and build reliable development plans ...
5 Myths About AI in Oil and Gas β Busted!
The power of artificial intelligence (AI) is impacting different industries, including oil and gas. Despite this trend, many oil & gas operators ...
11 Costly Mistakes E&P Operators Make in Building Machine Learning Capabilities
Machine learning provides an opportunity for E&P companies to improve their data-driven decision-making and tackle problems that traditional analytical approaches have struggled ...
How to Avoid Becoming a Frog in Boiling Water in Your Reservoir Engineering Career
Have you ever heard the story about the frog in boiling water? It's often said that if you put a frog in ...
Reservoir Engineering in the Age of AI: Navigating the Changing Landscape
The oil and gas industry has always been quick to adopt technological advancements, from early drilling methods to advanced seismic techniques, constantly ...
Is It Really Worth Building Your Own Oil & Gas Analytics Platform?
Since 2014, oil and gas companies have had to learn to do more with less. With investor pressure on G&A budgets and ...
Can unconventional well productivity predict peak oil and gas production?
How much production of oil and gas is left in the major basins? As you can imagine, operators, state agencies, financial services, ...
Is it worth It? Quantifying the value of collecting and interpreting subsurface data. [URTeC 2022 Novi Paper Summary]
Rejoice geologists, geophysicists and petrophysicists!Β We provide a novel approach to answer the question: Is it worth it for the industry to ...
Overcoming barriers to data-driven workflows: introducing Novi Model Engine
With thousands or tens of thousands of wells in every major shale play, operators and financial institutions know that the data is ...
Public Data Models: Better Than Anyone Expected
We have all heard the saying βgarbage in = garbage outβ when it comes to creating any sort of statistical model. You ...