Python for Geologists

Python for Geologists

The Oil and Gas industry is missing the boat when it comes to Data Science that is, re-imagining data and its inherent value as a strategic asset.?

Today, the Oil and Gas industry seeks ways to improve efficiencies thus reducing operating costs and increasing revenues. That's why most petroleum engineers and geoscientists are currently interested in learning technologies associated with data science, including AI and ML.

Python" is the most popular coding language for data science, artificial intelligence, and machine learning.



A handful of domain experts have dedicated an extensive amount of time and effort to developing and presenting the next generation of tools that incorporate these technologies in the petroleum industry.

The objective is that a modern Petroleum Engineer will demonstrate the power of Artificial Intelligence and Machine Learning and the difference they can make for informed decision-making when it comes to objectives such as infill location optimization and reservoir production and recovery optimization once domain expertise becomes the foundation of their use and application in the hydrocarbon reservoirs.



Top 5 reasons why you should learn Python


  1. Open-source
  2. Easy to learn
  3. Library & Large Community support
  4. Schlumberger software compatible (Petrel, Techlog, Blueback tool box)
  5. Powerful scientific packages (NumPy, ScPy, Matplotlib, Theano, TensorFlow)


Python and big data together provide a strong computational capability in big data analysis platforms. If you are a first-time big data programmer, no doubt it is easier to learn for you than Java or other similar programming languages.

It is important to remember that the primary value of big data comes not from the data in its raw form but from the processing and analysis of it, and the insights, products, and services that emerge from the analysis.

The sweeping changes in big data technologies and management approaches need to be accompanied by similarly dramatic shifts in how data supports decisions and product/service innovation.

Understanding the data can deliver tailored and sustainable outcomes that make quite a difference. With energy prices expected to remain to fluctuate, managing energy costs with an end-to-end solution, underpinned by data analytics, can be the most cost-effective way to get bills down.

Unlike other Python tutorials, this training is specifically for Geology & #Geoscience Enthusiasts like you.

You’ll learn about powerful ways to store and manipulate data, and helpful data science tools to begin conducting your own analyses.?

Start Python now - https://zcmp.in/DExI?m=0


#python #oilandgas #datascience

Berna GECKIN

WES REF. # 665117 Open to work

9 小时前

Is it tuition free?

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