Today's oil and gas industry relies increasingly on integrated multi-disciplinary services to provide effective risk management, wellbore and reservoir delivery while minimizing operating costs, cost of failure and non-productive time (NPT). New collaboration technologies enable the rapid storage, transfer and consumption of information and require robust but flexible knowledge management techniques to fulfill the requirements of a global learning organization. New tools need to be developed and successfully implemented tools need to be expanded to enable cross-disciplinary teams and communities the ability to capture, share and reuse validated knowledge efficiently. This paper presents how a single-domain lessons-learned system was extended to represent the entire spectrum of the upstream industry; assuring interdisciplinary information is reusable in multiple communities and market segments. The paper presents the challenges inherent in leveraging a common classification scheme; lessons-learned framework, enterprise platform, and search-and-retrieval systems with the goal of connecting people and making the collective knowledge seamlessly accessible across different business units, time zones and geographies. Also discussed is how building a common framework and incorporating the lessons-learned system into communities of practice, training and certification programs helps drive acceptance/implementation of the program. Finally, we showcase how the system has been used to deliver game-changing performance in time savings to locate relevant information and how re-use of stored knowledge enables performance improvements in wellbore delivery.

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Permeability is critical for determining the producibility of hydrocarbon reservoirs. Permeability, however, cannot be measured directly by logging tools, but rather needs to be deduced from available logging data. We present a method to derive a continuous permeability profile from nuclear magnetic resonance (NMR) and acoustic (AC) logging data by incorporating formation tester (FT) mobility. The underlying theory and workflow are described and field data examples that validate the approach are discussed. NMR permeability models combine porosity and an average pore size estimated from relaxation time measurements. Stoneley waves from acoustic logging deliver a permeability log by capturing the fluid particle motion between the borehole and the near borehole formation. Formation tester tools measure multiple formation properties including mobility, which is converted to permeability by multiplication with fluid viscosity. While NMR and AC data deliver a continuous, but uncalibrated permeability profile, FT mobilities are only taken at discrete depths with potentially large spacing. We have developed a robust workflow to generate a continuous and calibrated permeability log from NMR and acoustic data, by incorporating formation tester mobilities. The workflow can incorporate wireline and logging while drilling (LWD) data and can be applied to clastics and carbonate reservoirs. In particular, carbonates can exhibit complex pore geometries due to diagenetic alteration that can make permeability assessment difficult. Permeability in clastic formations, on the other hand, can be affected by the presence of clays or by cementation. We have observed that incorporating formation tester data can contribute significantly to deliver a calibrated, continuous permeability profile from NMR and Stoneley waves. We demonstrate the efficiency of our methodology by applying it to three field data examples from offshore carbonate formations. These examples demonstrate the value of integrating formation test mobility with NMR and, if available, acoustic permeability, to improve the petrophysical characterization of reservoirs. Advantages and limitations of the combination of all three measurement types are illustrated, and applications, such as the identification of pore geometry effects, are discussed.

fax 01-972-952-9435. AbstractTechnology improvements continue to