Lessons learned and consequential knowledge acquired during operations are an important base for the design of a new well to be drilled. Shallow hazards, lost circulation zones, abnormal pressures, existence of CO2 or H2S, data obtained during pressure tests (formation and injection tests) that can validate the adopted geopressure model, loss of wells or part of wells are, among others, information that can be gathered from the assessment of drilled wells. The offset wells analysis usually brings a great deal of important and practical results.

In a field offshore Brazil, a Field Knowledge Management model is being built with the aim of developing a methodology to guarantee that the Well Engineering experts know and systematically apply the relevant information collected from past drilled wells in the design of future wells, above the use of offset wells data. The project is intended to produce a set of procedures to allow the use of the model in any oil field.

Following the well-known P-D-C-A (Plan-Do-Check-Act) cycle, the project points to an improvement in quality of data for the “P” phase that comes from organization and verification of data already known from phase “D” of past wells, analysis of these data during phase “C” and finally rearranged in a workflow in phase “A”, this time aiming to facilitate and improve the design of the next well.

As a consequence of this work, experts will have available, in an organized way and with high quality, all the relevant information to support decision process during the elaboration of the next well engineering project. More than 180 wells already drilled in the field will be taken into consideration in this study.

Even more important than Field data analysis will be the methodology under development which will permit self improvements as far as the experts increase their knowledge of the oil field under consideration. This work intends to present the updated development of this project and conclusions already gotten.