In the presented approach to deploying tripping automation, a team consisting of operator, drilling contractor, and drilling equipment OEM collaborated to successfully deploy and improve the well construction process. The tripping process was upgraded with new software and through extensive training, offshore support, and continuous improvement, the rig was able to operate in a more automated mode as well as enhancing the safety by improving tripping hierarchy of control.

This presentation examines in detail the mathematical basis for well test interpretation, starting with the concept of an ideal reservoir model and the partial differential equations used to describe single-phase and multi-phase flow in porous media.

The University of Texas at Austin has been working on advanced sensor technologies over the last 6 years in a bid to improve the safety and efficiency of drilling operations, and to reduce uncertainty with regards to data and situational awareness.

A ROP optimization methodology is presented, using offset drilled wells data. Data is used to train a neural network model for different rock properties which is presented in the vertical section of the reservoir. By changing the drilling parameters like Weight on Bit, Rate of Penetration (ROP) for the target well is optimized.

Wellbore tortuosity is a critical element in drilling complex horizontal wells and deep verticals. The current three-dimensional borehole trajectory model, based on the minimum curvature method [MCM], tends to mathematically smoothen the wellpath.

This presentation describes the development of a well-site automation system consisting of an open data aggregator, with networked surface and downhole sensors and real-time applications for process monitoring, advice and control.

When using analytical data in real-time to produce predictive answers and situational awareness, having confidence in the data is paramount. This webinar will discuss a few examples of the impact of low quality of acquired data and how it will errode the confidence needed to make real time decisions. We will further discuss a few examples of how data can be assessed for appropriate use and a few techniques to augment this data when answers are needed. This webinar helps show how a company can use open standards-based solutions like the proposed Energistics Data Assurance process to qualify data for use in the analytical and decision making processes.

This webinar explains how deviated wellbores are drilled automatically with a rotary steerable system. The automation system used is capable of predicting the wellbore trajectory, deriving steering proposals to follow the planned trajectory closely or steer back to plan, and submitting those steering downlinks automatically to the downhole RSS with the directional driller observing the system. During the webinar, we explain the underlying control methodology and the automation system architecture. Furthermore, operational considerations as well as sensor and actuator influencing factors are discussed. The concept of embedding the driller and directional driller in the decision-making workflow is outlined. Finally, the performance of the automated trajectory drilling system is assessed and case studies are presented, where up to 98 % of a single wellbore has been drilled automatically.

With the implementation of new technology on deep-water units, there have been huge strides made towards a safer and more efficient way of drilling wells. However, with the introduction of these advancements different challenges also arise. In fact, as new technologies are introduced, the more important team skills, or Crew Resource Management becomes.

The webinar discusses newly in-house developed and implemented a set of scientific modules for Drilling kick detection and well control. This involves case studies and their business impact on drilling safety and efficiency.

The offshore Wheatstone LNG Project in Western Australia utilizes subsea big-bore gas wells as the preferred method of producing the field.

Introduces the chemistry and classification of oil well cements.

Upon completion of this module, the participant should be able to: determine the volume, displacement and density requirements for cementing a casing string, select the cement additives appropriate to a given job, specify the casing accessories to be use on a primary cement job, outline the steps involved in cementing a string of casing, evaluate the results of a primary or squeeze cementing operation, and calculate the volumes and displacements required to set a cement plug.

Presented by Gunnar DeBruijn

The drilling industry is currently pushing the boundaries of data management and how to take full advantage of connecting real-time analysis with simulated results from design stages. This presentation will try to untangle some of the concepts introduced and discuss if a connection can be made between accurate modelling and real-time data analysis. A strategy is also proposed to take advantage of the modelling tools available and the data feeds streaming from rigs.