Work Process and Systematization of a New Digital Life Cycle Well Integrity Model

Abstract

This paper outlines an extract of a software model for digitalization of the processes supporting upstream activities for onshore and offshore fields. Digitalization in this context means full automation of planning and a step change in the daily well integrity work. The planning process will produce digital programs and proceduresunderstandable to humans and computers. The software comprises building blocks for every engineering calculation. These are interlinked andconstructed such that their planning capacity can be improved by the users. Today, humans drive every step in engineering and planning. Digital well planning and operations will shift the role of humans towards feeding the planning process with experiences in digital format. Changing from text based learning to digital experience will improve planning and operations. Digitalization can also provide digital standards, governing documentation and automate administrative routines such as invoicing. Visualization of wells, their components, barrier envelopes and elements from plan to "as installed" will form a 3D interactive interface where users of different roles can retrieve information and see relevant engineering, modelling and integrity status. The software is planned to be cloud based and exploit local graphics hardware for optimal performance and response. This article gives an introduction to the planned functionality of a new Digital Life Cycle Well Integrity Model (LCWIM) which is under development. In addition to an overview of the functionality, digitalization is exemplified by automation of one of the LCWIM modules, namely casing wear prediction. The LCWIM will produce digital programs and procedures, which is a foundation for the next step in digitalization: automation of the drilling process. The focus of this paper is to depict a digital work process concerning well planning giving input to the operational phase and well integrity.

Introduction

“…Of these, one can refer to seismic data processing from the 1980s and monitoring and optimizing critical production processes from the 1990s [9]. Digitalization has some core benefits including access to data, data management, improving accuracy in engineering by implementing the latest theories and models, optimal planning and operation, minimizing human error or human factors which contribute to failures or incidents, changing human involvement to a supervisory role and finally leading to the automation of the drilling process [10]. But digitalization creates big data volumes and it has associated challenges including data capturing, data storage, data analysis, search, sharing, transfer, visualization, querying, updating and information security [11].…”