Development of a data integrate tool for cement plug and abandonment

Abstract

With an increasing number of mature offshore/deep-water wells and progressively more strict regulatory requirements, plug and abandonment (P&A) is becoming a more complex issue and expensive, time-consuming initiative. It is necessary to understand the current status of well assessing the quality of the data available (pressure data, lithology data; sand, shale, cement range) therefore record keeping and data gathering are crucial throughout the wells’ life cycle. Up to date, there is no specific tool develop to integrate different type of engineering and geological data in planning the cement plug location in P&A initiative. Objective from this study was show the utilization of data science method specifically by MS Access manipulation to integrate the data that is need to be analyse while planning for the best economically cement plug location. Method that was use in this study is explore and exploit the MS Access to create form to gather all the well data, subsurface lithology data of the well, the leak off test then later execute the calculation to verify the best depth of cement plug to be install in the well. The time needed to run the manual analysis without the develop tool was recorded and compare with time that was spend by using the study tool to run the data. In the previous manual method, different set of excel spreadsheet is created for different type of data and there is redundant data typed in the various number of spreadsheet to come up with the final pressure plot as the planning reference and user took about a week or five working days per well. MS Access use in the study was help to minimize the manual key-in, redundant data entry then later automatically plot the required graph in less than five working days for one well. The result from this study is, workflow established from this research can standardized the initial process to start a plug and abandon process, and accomplish accurate, precise initial data. In term of time spend, man-hour was saved by 60% and of course save the cost that involved in the data preparation effort with the usage of the integrate tool. P&A approval review also can be done easily if the result derived from the tool are accurate. In summary, the major goal to this study has develop an integrated tool that can merge different data from both engineer and geoscience input and later save the processing time in preparing the data for plug and abandonment process.