Utilization of Digitalized Numerical Model Derived From Advanced Mud Gas Data for Low Cost Fluid Phase Identification, Derisking Drilling and Effective Completion Plan in Depleted Reservoir
Author:
Buckle Philip Shane Gerard, ,Abdullah Abdul Faiz Haji,Zaini Nurhafizah,Fornasier Ivan,Gligorijevic Aleksandar,Daniel Andrea Di,Khanal Gokama,Vignaraja Sridhar, , , , , , ,
Abstract
The scope of this paper is to illustrate the successful application of the Advanced Mud Gas (AMG) analysis in oil rim development wells, in a large fault block reservoir offshore Brunei Darussalam, operated by Brunei Shell Petroleum (BSP). Developing thin oil rims is challenging as gas and water breakthrough can be very common and therefore the need to have an accurate fluid type identification is crucial for the subsequent completion. In this field, pressure depletion and wellbore instability posed serious concerns about the effectiveness of the traditional density-neutron tool to reliably identify the fluid phase and the associated risk of losing the radioactive source in the hole. Eventually, BSP opted to run the AMG technology as an alternative solution to mitigate the risk and acquire continuous, accurate information about the type of fluid. The AMG is an advanced mud gas system providing continuous PVT-like composition in the C1-C5 range. The gas ratio analysis allows inferring the fluid type in the reservoir during drilling. The continuous data nature gives a complete fluid profile along the well. Historical data from the same field, including AMG and PVT samples, was used to calibrate a numerical model for fluid type characterization. A comprehensive interpretation workflow was built and implemented during drilling, that also accounted for the potential effect of pressure depletion on the fluid composition. AMG was successfully run in two side-track sections, in place of the Density-Neutron tool and delivered accurate fluid type in the crossed reservoirs and helped designing an effective completion plan. Further, the use of the AMG technology had a tremendous impact during the execution of the first sidetrack section, where the bottom hole drilling assembly was lost in the hole, to prevent serious environmental incident and reduce operational cost. The integration of multiple data sources, in the same platform, facilitated interpretation models based on numerical determinants using a model calibration from the field with similar reservoir conditions. AMG, eventually, was selected as the primary tool for well logging in this field as an industry proven technology for fluid type identification.
Publisher
Society of Petrophysicists and Well Log Analysts
Cited by
1 articles.
订阅此论文施引文献
订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献