Over the last three years, IBM has made real quantum computers available on the cloud so that clients, students, and researchers can begin to learn and experiment with this new way of computing. We'll cover the basics of quantum computing, review some use cases being considered in industry, talk through what IBM Quantum is doing today, and finally how you and your teams can get onboard to explore rapidly evolving technology.

The success of machine learning in areas like computer vision, speech recognition and text mining has attracted the attention of other problem domains. In particular, drilling automation has had a significant increase in the application of machine learning during the last five years. An important aspect to consider for the use of a machine learning approach is the data availability. Techniques like deep learning require a considerable amount of data. Unfortunately, drilling data is not always available at the required volume. For this case, it is possible to increase the quantity of data by means of data augmentation.

В помощь авторам для написания и подачи рефератов на конференции и в журналы SPE предлагает прослушать обучающий вебинар о том, как написать хороший реферат. Докладчиком вебинара является член SPE Байрон Хэйнс-младший. В данном вебинаре Байрон расскажет как об основах, так и о некоторых изменениях, касающихся процесса подачи реферата, а также о том, как правильно и эффективно выстроить свой реферат. После презентации Байрон ответит на вопросы участников.

This presentation will strive to give an overview of the key components to build a fully automated system to identify rig states and provide rig operations performance key performance indicators (KPIs). Starting with the data requirement, feature engineering, machine learning, and how the sensor’s noise can be reduced in real-time. It will also provide information on drilling operation’s specific challenges (such as KPI validation) and how it can be addressed. Finally, we will discuss lessons learned of running such a system, and how such an effort can establish the foundation of advanced data science driven solutions.

Presented by Christiaan Luca

Presented by C. Susan Howes