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Considering the current trend oil and gas corporations are facing, they are continuously focusing on increasing their operational efficiency. Declining oil and gas prices lead their operational departments to reduce the cost of drilling and producing hydrocarbons, which ultimately results in streamlining the operational cost of their drilling tools. Oilfield service companies with hybrid business models must take all life cycle cost into account. To influence these costs and to optimize capital and operational efficiency as well as service availability, comprehensive cost models are used in the product development process. For the consecutive development stages from feasibility through detailed design, models with increasing level of detail are required. Cost modeling within the development process is typical in the petroleum industry. Currently, models are available for specific applications in single development phases. This paper describes a holistic approach to analyze and optimize life cycle cost and service availabilities of drilling systems from the early concept phase through deployment. The result is a fast, secure and easy usable software tool as well as a standardized process to develop competitive, high-technology drilling systems. To identify requirements for these models, a stakeholder analysis is performed and described. Based on the analysis results, information flows are defined: Who provides and needs which information at what point of time within the process? With this foundation, new models are created or existing models extended to meet the requirements. In this context, best practices from different industries are also reviewed and implemented where applicable. A parallel use of the models during the respective development stage enables an iterative improvement. The development of the models and current results are detailed in this paper. In early conceptual design phases, it is challenging to calculate life cycle cost with sparse information about the complex future drilling system, so cost-estimating relationships must be devised. Maintenance times and intervals, which are one of the main operational cost triggers, must be assessed by concurrent high level tool performance and reliability. Cost efficiency, tool performance and reliability must be balanced to achieve high customer expectations and high margins. During the detailed design phase, system costs, such as alternative costs, e.g., through non-availability of tools, in addition to bottom-up models on the component level, must be considered. These modular models are connected to each other to exchange data via standard interfaces. They calculate future cost projections and identify key cost drivers. This enables continuous cost optimization through the whole development process. Results to support decision-making as well as cost saving potentials are shown with an exemplary development process of a drilling tool by using the life cycle costing approach.

Inhalt: Um Produkte und Dienstleistungen kostengerecht zu entwickeln, muss ein entwicklungsbegleitendes Kostenmanagement erfolgen. Da nach der Konzeptphase bereits ein Großteil der Lebenszykluskosten festgelegt ist, müssen die Kostenprognose sowie -optimierung schon in frühen Entwicklungsphasen einsetzen. Im Rahmen der Kostenprognose werden vier Modelle vorgestellt, die dem Informationsstand über das Entwicklungsobjekt angepasst sind und die Verfügbarkeit des Systems berücksichtigen. Parallel werden die iterativ ermittelten Kosteninformationen genutzt, um die Gesamtkosten zu optimieren. Ein Fallbeispiel zeigt abschließend Möglichkeiten der Entscheidungsunterstützung für Entwickler und Manager.

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