Total operates an offshore oil field approximately 60 Km West of Pointe-Noire, Republic of Congo. To date, the Albian reservoir has contributed most of the oil produced. However, a significant part of the oil in place is in the Cenomanian, a low permeability sandstone formation with poor quality. As of early 2007, only two of the initial 50 wells in the field had been completed in the Cenomanian. It was desired to evaluate the potential of hydraulic fracturing stimulation treatments to more fully comprehend the production capability of this reservoir. In early 2007, a third well was drilled and completed in this structure, penetrating the Cenomanian at a 60 degree inclination for this purpose. Proppant fracturing from a wellbore with a 60 degree inclination in a hard-rock formation has always been difficult. Also adding another level of uncertainty was the fact that the Cenomanian has never been fracture stimulated. This paper will detail the planning process from both the operator and the service provider perspectives with specific well control issues related to an over-pressured reservoir. Review of the well conditions and operational constraints indicated the best approach would be a multi-stage pinpoint stimulation method incorporating hydrajet perforating and sand plug isolations using a stimulation vessel especially designed for such work. Additionally, a comprehensive review of the actual three-stage stimulation treatments will detail the perforating, fracturing, and sand plug isolation after each stage. With BH memory gauges just below the jetting tool assembly, post-frac reviews of downhole pressure data is compared with the live annulus data used for real time decisions during the stimulation stages. Post-frac well cleanup and early production data will be included. Background Of the initial 50 wells in the field, only two producers were completed in the Cenomanian instead of the Albian reservoir. Although this reservoir constitutes a major part of the oil reserves of the field, its low permeability (10mD) and poor formation quality (argillaceous siltstones) always result in a low production index in perforated cased hole configuration. To show that a field development on such a reservoir could be economic, it was needed to prove that effective fracturing operations could be performed on the third well, drilled early in 2007, in this structure. No similar operation had been undertaken in West Africa on a hard low perm rock where the core samples appear to come from a well in Texas, instead of offshore West Africa. Furthermore, a fines stabilizer chemical agent was pumped to provide a treatment solution to lock the migrating fines in place to minimize the potential damage to the formation and maintaining the production flow rates of the well. This offshore field is currently operated from two primary platforms set in about 140 m of water. Most of the oil production has been from the 48 wells completed in the Albian reservoir. This reservoir, below the Cenomanian, is a moderate permeability carbonate formation with a varied degree of natural fracturing present. It is typically completed using a large volume HCl acid-frac stimulation after perforating. These wells account for more than 97% of the pre-2007 production of the field What enhances the value of the Cenomanian formation as a producing reservoir (while increasing the complexity of drilling and completion operations) is that this reservoir is significantly overpressured. The reservoir pressure in these zones required the use of a 1.40 sg completion fluid (mixed CaCl2 / CaBr2 brine) to maintain 8 bar over-pressure above reservoir pressure.
User Interface (UI) systems are increasingly complex and nowadays assist critical activities. The development of UIs needs empowered validation methodologies in order to ensure the correctness of the developed UI-based applications. This paper investigates the applicability of reverse engineering and formal approaches to the validation of UIs correctness. The approach is the following. An user interface's abstract model is derived starting from its Java/Swing source code. This formal execution model is then used to prove that the developed interactive system is in accordance with usability requirements expressed in CTT tasks models.
scite is a Brooklyn-based organization that helps researchers better discover and understand research articles through Smart Citations–citations that display the context of the citation and describe whether the article provides supporting or contrasting evidence. scite is used by students and researchers from around the world and is funded in part by the National Science Foundation and the National Institute on Drug Abuse of the National Institutes of Health.
customersupport@researchsolutions.com
10624 S. Eastern Ave., Ste. A-614
Henderson, NV 89052, USA
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
Copyright © 2024 scite LLC. All rights reserved.
Made with 💙 for researchers
Part of the Research Solutions Family.