Session Managers: Lars Høier and Jon Kleppe
The purpose of reservoir management is to control operations to maximise both short-and-long-term production. This consists of lifecycle optimisation based on reservoir model uncertainties—together with model updating by production measurements—time-lapse seismic, and other available data. Time-lapse seismic data helps to determine reservoir changes that occur with time and can be used as a new dimension in history matching since it contains information about fluid movement and pressure changes between and beyond the well. How can we process and use the huge amount of information in an efficient way and ensure that the reservoir models are kept up to date and consistent with the data? History matching methods are being developed through both field-specific studies and methodological research. This session addresses state-of-the-art technologies within the area of optimisation, focusing both on production history and 4D seismic interplay between these two diverse types of data.
Session Managers: Lars Høier and Jon Kleppe
In this session, a presentation of the Norne field in Norway will be given, as well as a description of the second Norne benchmark case. The field presentation includes key field data, drainage strategy, and specific Norne field experiences. Since 1997, more than 50 wells have been drilled in the Norne and series of 4D surveys have been performed. This high-quality seismic data has been imperative for history matching and revised plans for injection/production, including extensive infill drilling. A detailed description of the establishment of a number of international benchmark cases based on real Norne datafor the discussions of reservoir characterisation, history matching, and/or production optimisation methodologies will be given. The first introductory package of Norne, comprised the so-called “e-segment” was released in 2010. Several research groups presented their history matching results in an SPE workshop in Trondheim in June 2011. A second more comprehensive data package was released in the summer of 2012, available for downloading by interested research groups. The package contains the 30 reservoir simulation model, production data, measured fluid PVT, detailed geological description, petro physical data, well logs, well completion solutions, and detailed 4D geophysical data (processed and unprocessed).
Session Managers: Martin Landrø and Tapan Mukerji
Seismic data has begun to play an increasingly important role in reservoir surveillance and integrated history matching. Quantitative use of timelapse seismic data requires modelling the links between changes in reservoir saturation, pressures, the corresponding changes in the elastic properties, and seismic attributes. This session will address the different types of seismic observables that can be used for monitoring as well as the values and challenges associated with them.
Session Managers: Mohsen Dadashpour and Richard Rwechungura
This session will address a test case (Norne full field) to evaluate and compare mathematical methods for history matching as well as methods on optimal production strategy and/or enhanced oil recovery. It will be an opportunity to discuss emerging and classical history matching and optimisation methods after being tested, using real field data. The participants of the case study will come up with a history matched model (from 1997–2006 preferably using an integration of production and time-lapse seismic data) and with an optimal production strategy for the remaining recoverable resources for the period 2006 to 2016. Participants may suggest techniques to enhance recovery, since significant amounts of the recoverable reserves are already produced. Participants will use good quality and massive full-field-data from Norne offshore Norway.
Participants are invited to present their results at the workshop. More information on the Norne benchmark and the comparative case study is available at: www.ipt.ntnu.no/~norne, under Package 2 Full Field Model - 2013.
Session Managers: Khalid Aziz and Martha Lien
The joint integration of different data types is of growing interest because of the potential for accurate predictions. Where the interpretation of a single data type will provide information about variations in a limited set of physical properties or combinations thereof, the joint integration of different data types will have potential for more robust estimates with better discrimination of different physical effects by the inclusion of more information into the history matching process.
This session addresses questions associated with the joint integration of different data types such as:
Session Managers: Rob Arts and Nan Cheng
While the primary focus of this workshop is the Norne Field, we will also explore real case applications of closed-loop reservoir management compared to other field cases. Specific attention will be given to the way time-lapse seismic data and other geophysical data, are incorporated together with production data.
The presentations will form the basis for an open discussion on the merits and drawbacks of the various techniques adopted for history matching and optimisation. This session will feed into the discussions on the integration of data and particularly on the use of time-lapse seismic data in sessions II and IV.