Abstract

Using three-dimensional visualization of the earth model as a foundation, a new IT development strategy focuses on perceiving "Drilling Learning" by an intuitive method. Symbols, known as "Knowledge Attachments" are attached to each wellbore trajectory displayed in the three-dimensional environment, with each symbol indicating a specific event- such as one related to drilling operations or problems. It proves particularly useful to represent this disparate data at once, and in such a manner that the interdependencies between the earth model and drilling operations data are evident and correlated.

Introduction

E&P companies are now putting more focus on collaborative asset teamwork to better evaluate the economic viability and risk involved in developing prospective oil and gas fields. To facilitate such collaboration, E&P companies are adopting shared, integrated, IT technology to enable multi-disciplinary teams to engage in improved workflow processes across all phases of the oil field life cycle.

Traditionally, Geoscientists have had the benefit of powerful integrated visualization tools. Such applications are characterized by excellent integration and interoperability, allowing workflow practices to be optimized. This permits geologists and geophysicists to model and comprehend the nature of the subsurface environment when evaluating prospects and planning development projects.

Drilling engineers tasked with wellbore construction typically do not utilize these integrated applications. The earth model resulting from the explorationists' use of their tools is rarely referenced directly by the drilling engineer. The chasm between the explorationist and driller hinders optimum wellbore construction planning and execution, but presents a significant opportunity for operational improvement.

Coupling drilling operational events and knowledge (contained within Drilling Information Management Systems) with the earth model is one such opportunity. With the advent of more powerful personal computers and laptops, drilling engineers can now access similar visualization tools geoscientists have traditionally used on UNIX workstations.

Statement of Theory and Definitions

Visualization can be defined as the binding (or mapping) of data to a representation that can be perceived. Integration of data from different sources in the same visualization enables visual analysis1. Visual analysis requires that the tools for accessing and filtering the data be tightly integrated with the visualization environment. When working in a team environment, visual analysis:

  • speeds communication

  • conveys subtlety

  • builds trust

  • promotes creativity

  • speeds and enhances decision making

At a high level, the data we are binding is that of the earth model and drilling operational data. This visualization system will prove particularly useful in representing this disparate data at once, in such a manner that the interdependencies can be made clear. The interactive data binding coupled with the 3-dimensional display will greatly enhance the ability to analyze these complex data sets and speed up the process of extracting information. It has been stated that one pair of human eyes have more information processing capability than all of the super computers in the world put together2.

Description of System Components.

It is assumed data management systems for the earth model and drilling information are available. Examples of such database management systems are OpenWorks and Dims respectively. The additional component required to create a system for perceiving drilling learning through visualization is a 3- dimensional visualizer that integrates the two data sources utilizing knowledge attachments.

Description of System Components.

It is assumed data management systems for the earth model and drilling information are available. Examples of such database management systems are OpenWorks and Dims respectively. The additional component required to create a system for perceiving drilling learning through visualization is a 3- dimensional visualizer that integrates the two data sources utilizing knowledge attachments.

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