This work presents a proposal of a visual tool to assist the creation of academic research projects, dissertations and theses. Its metrics are based on business and management success cases. In the creation and management of projects in teams are used visual strategies to present and record the parameters involved in the scope of the project through a screen, which can be composed of a frame with predefined fields or connection lines forming a flowchart. There are tools that can provide researchers with the conditions to view isolated parts of the project as bibliographic references only or correlation nodes between keywords, then it becomes necessary to create a strategy that enables the creator of the project and the team involved to visualize the essence of the project in the eminence of being created and to predict needs, failures, objectives as well as to restructure the project to adapt the research conditions. This strategy has the form of a framework, called Research Project Model Canvas with fields defined according to the needs of creating a research project, and its tables are organized in a logical order of reading, presentation and connection between each one.

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The present study aims to propose a methodology to treat probabilistically the prediction of well bottom pressures during drilling, circulation and tripping operations. The pressure generated by the fluid is the primary safety barrier and its failure can immediately initiate gains and losses events in the well, with a direct impact on the safety of the process. Two models were considered in the study: a two-phase flow model commonly used to predict hole cleaning and downhole pressures while drilling and a pressure propagation single flow transient model (which considers fluid compressibility and gelation) to account for peaks in tripping and pump restarts. A Monte Carlo method coupled with a latin hypercube strategy was implemented to propagate the uncertainties in the input variables to the resulting pressure. The probabilistic approach aims to consider the uncertainties in the input variables (weight, rheology, penetration rate, drillstring velocity and acceleration, pump flow, particle diameter, well trajectory, etc.). Monte Carlo Simulation was conducted to generate the pressure distribution curves in each of the operations: drilling, circulation, tripping and pump restarts. Probabilistic pressures are fit into probabilistic operational windows allowing the quantification of the risk of losing the barrier. The paper also details the critical aspects associated with typical pre-salt well drilling project conditions in offshore Brazil where narrow operational widows are a reality. The analysis directly impacts the choice of drilling strategy (conventional or MPD) and, consequently, rig selection. Innovative strategy to enable risk assessment strategies in the analysis of safety barriers. Pilot to a major integrated approach which will include other barriers such as cement, rock and equipment.

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