DSDE: In Practice

This paper evaluates learnings from the past 30 years of methods that aim to quantify the uncertainty in the subsurface using multiple realizations, describing major challenges and outlining potential ways to overcome them.

About 90 tonnes of methane an hour were released from the Raspadskaya coal mine in January, data from the GHGSat global satellite shows.

This paper explores a holistic approach to characterize trouble stages by applying automated event recognition of abnormal pressure increases and associating those events with formation and operational causes.

An operator has redefined onsite operations reporting through the development of a standardized set of reporting activity codes as the backbone of a standardized digital well-design and execution process.

The paper describes the experience of using a machine-learning model prepared by the ensemble method to prevent stuck-pipe events during well construction in extended-reach wells.

This paper describes a successful U-turn trajectory test in South Texas that has created new economic project opportunities for the company and increased optionality within challenged lease spaces across the field.

A pilot application using computer vision technology has been created to count and measure the pipe entering the wellbore and detect personnel movement in the red zone during pipe-delivery operations.

This study describes application of the iterative ensemble Kalman smoother application to a low-permeability coalbed methane field in Australia.

The authors describe an approach to achieve reliable estimation of field gas initially in place.

A field test conducted by Yokogawa Electric and JSR resulted in a chemical plant being run autonomously for the first time by artificial intelligence for 35 days.