SPE Web Events

This discussion will take a close look at Managed Pressure Drilling in the context of Winner or Also Ran. For those new to MPD, a brief overview will allow everyone to be on a common page. Deployment on land, offshore and deepwater will be discussed, with case studies of why it was deployed and if the objective was achieved. Further, each case will also interrogate additional benefits that surpassed expectations. Analysis of MPD failures will also be discussed, so the argument is balanced. On conclusion, the audience will be able to assess for themselves…..is MPD a winner? And if not, why not?

Content for this webinar is provided by METTLER TOLEDO. By registering, your contact information will be shared with the sponsor.

Advances in hardware and software technologies have enabled the development of the information and computational infrastructure, which in turn gives industries the opportunity to explore and take advantage of the exciting possibilities for digital twins to analyze physical assets efficiently and effectively. The challenge of creating these entities, either through physics-based methods, data-driven modelling or combining them to form a “hybrid digital twin,” is of real interest to both academic and industry research and is the main motivation for this webinar.

This lecture seeks to explain a systematic approach to characterize, constrain and validate such models through integration of prefrac diagnostic injections, core data, independently-determined fracture dimensions, and postfrac production data. The final objective is to build predictive models that can be used to improve completion strategies in this promising play.

The traditional process for understanding well operations mainly involves fitting a curve through all of the historical production data and extending the curve to forecast production without modeling the stochastic nature of production history, considering impact of any well interventions, or feeding any a priori information into curve-fitting workflows. This leads to unreliable production and reserves estimates which, in turn, impact the strategy and planning process for asset management. A novel workflow which learns the production characteristics of a well through a statistical framework using principles of signal processing and Bayesian inferences will be discussed.

This presentation has the goal to describe how a proper factory inspection and field installation of the separation internals needs to be carried out. The installation and inspection must address the key issues that might occur to avoid poor separator performance.