Quantification and prediction of hydrocarbon resources sinding larsen r dor a g. Quantification and Prediction of Hydrocarbon Resources, Proceedings of the Norwegian Petroleum Society Conference 2019-03-05

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quantification and prediction of hydrocarbon resources sinding larsen r dor a g

Dorn-Lopez Play fairway analysis and risk mapping: an example using the Middle Jurassic Brent Group in the northern North Sea Original Research Article Pages 167-181 Shona Grant, Nick Milton, Mark Thompson A model-based approach to evaluation of exploration opportunities Original Research Article Pages 183-198 B. The paper describes a method which permits the integration of information from multiple domains in the assessment of resources. A structural restoration of the aggregate mineralization model shows that nonmodel cells located between major models have high° of association with the aggregate model, implying continuity of mineralization. However, composites may arise implicitly or be created explicitly. The priors and posteriors from this empirical Bayesian approach are compared with the estimates from Lee and Wang's modified maximum likelihood approach using the same data. The combined use of two discovery process models in the same play compensates for the weaknesses in one method compared with the other and vice versa.

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Book Series: Norwegian Petroleum Society Special Publications

quantification and prediction of hydrocarbon resources sinding larsen r dor a g

How to achieve a valid play definition is a problem common to both methods. Reporting of uncertainties associated with estimates is essential. The Norwegian Petroleum Directorate's Resource Classification System K. Risk assesment using volumetrics from secondary migration modelling. George Stosur Nessie: a process analysis of a generic North Sea field life cycle Original Research Article Pages 261-272 P. Containing hundreds of illustrations, some in colour, the book is arranged in 26 chapters with a detailed subject index. The Geo-anchored method, based on a moment-type estimator, has been developed for estimating parent population properties from a successive sample of discoveries.

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Quantification and Prediction of Hydrocarbon Resources, Proceedings of the Norwegian Petroleum Society Conference

quantification and prediction of hydrocarbon resources sinding larsen r dor a g

Many service companies and university departments with links to the industry will also find much to interest them. A nonsquare windows must be used if anisotropic components are to be filtered out. Exploration data for 27 geophysical, geological, and geochemical variables were used to construct a mineralized and a lithogeochemical model for an area that contained a known massive sulfide deposit. In this book, the articles addressing this theme present analyses of the enormous submarine slides that took place during the Holocene in the Norwegian Sea, and are of particular interest to the developers of the Ormen Lange gas field; other articles address the occurrences of gas hydrates in the near sea floor and the challenges presented in identifying and protecting the Lophelia cold-water reefs in the region. Thus, any resource assessment strategy for phosphate must take first into account its origin. The world of reserve definitions-can there be one set for everyone? Hall Risk and probability in resource assessment as functions of parameter uncertainty in basin analysis exploration models Original Research Article Pages 199-218 S.

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Richard Sinding

quantification and prediction of hydrocarbon resources sinding larsen r dor a g

Many service companies and university departments with links to the industry will also find much to interest them. White Changing perceptions of a gas field during its life cycle: a Frigg field case study Original Research Article Pages 273-289 Eivind Torheim Choosing between rocks, hard places and a lot more: the economic interface Original Research Article Pages 291-312 Helge Hove Haldorsen The usefulness of resource analysis in national economic planning—examples from the Norwegian Shelf Original Research Article Pages 313-324 Jan-Erik Kalheim, Harald Brekke Evaluation of undrilled prospects—sensitivity to economic and geological factors Original Research Article Pages 325-337 C. Kaufman Risk analysis and full-cycle probabilistic modelling of prospects: a prototype system developed for the Norwegian shelf Original Research Article Pages 153-165 J. The Earth is not running out of critical mineral resources - at least for the near future - but the ability to explore and extract these resources is being restricted in many regions by competing land use, as well as political and environmental issues. This is one of the first books to cover the extensive assembly of hydrocarbon quantification and prediction techniques - of value to petroleum industry management, geoscientists, engineers and economists. The results indicate that both spectrum and variogram methods result in biased estimates of the D value.

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A.G. Dore & R. Sinding

quantification and prediction of hydrocarbon resources sinding larsen r dor a g

Gas in the 21st century: a world-wide perspective I. The purpose of this paper is to study the uncertainty in the fractal dimension estimated by these two methods. Because these cells would be the logical potential target areas considering the known geology, it is concluded that characteristic analysis is a powerful analytical tool in exploration. If the parent field size distribution is Pareto, an underestimation of the play potential may occur if a lognormal discovery process model is applied. It was determined that square windows of the filter mask are effective only for removing Isotropie components or white noise. .

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A.G. Dore & R. Sinding

quantification and prediction of hydrocarbon resources sinding larsen r dor a g

Nessie: a process analysis of a generic North Sea field life cycle -- Chapter 22. Beardall Resource classifications and their usefulness in the resource management of an oil company Original Research Article Pages 63-70 Kjell A. Prospect resource assessment using an integrated system of basin simulation and geological mapping software: examples from the North Sea -- Part V: Management of Discovered Resources -- Chapter 20. Favourability is based on the similarity to different mineralization models constructed from magnetic, electromagnetic, geological and geochemical exploration data covering more than 1250 km. Basin models are used to gain insights about a petroleum system, and to simulate geological processes required to form oil and gas accumulations. Thirty scientists from different countries in Europe and North America were invited to form a forum for the discussion of quantitative methods for mineral and energy resource assessment. Maps displaying different attributes from multiple domains are evaluated individually and partitioned in terms of the objective into favorable regions and those of uncertain significance.

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The Russian method for prediction of hydrocarbon resources of continental shelves, with examples from the Barents sea

quantification and prediction of hydrocarbon resources sinding larsen r dor a g

This work is devoted to developments in quantitative methodologies for the estimation of mineral and energy resources, including: estimation of petroleum resources before exploration and after discovery; image analysis, including the study of remotely-sensed data; integration of geochemical, geophysical, lithological, and ancillary quantitative data on mineral deposits; and other related statistical methods such as point processes, quantile processes, and applied geostatistics in the Earth Sciences. Such a distribution however only characterizes the bulk property of fault throws in an area. Results indicate that geostatistical methods can improve conventional image analysis. It provides an overview of current thought processes prevalent in the petroleum industry and academia on this topic. Areas favourable to the occurrence of massive sulphide deposits have been identified in the Grong Mining district Norway. It is particularly focused on practical applications to natural resources management and economic evaluation of oil, gas, minerals, water resources, agri-business and environmental issues. Abrahamsen, Kjell Lindbo, Jan Vollset Reserve and resource definition: dealing with uncertainty Original Research Article Pages 71-76 John Wilkinson The Norwegian Petroleum Directorate's resource classification system Original Research Article Pages 77-81 Kjell Reidar Knudsen A method for the statistical assessment of total undiscovered resources in an area Original Research Article Pages 83-90 Eivind Damsleth The Norwegian Petroleum Directorate's assessment of the undiscovered resources of the Norwegian Continental shelf—background and methods Original Research Article Pages 91-103 Harald Brekke, Jan Erik Kalheim Cross-validation of resource estimates from discovery process modelling and volumetric accumulation modelling: example from the Lower and Middle Jurassic play of the Halten Terrace, off shore Norway Original Research Article Pages 105-114 Richard Sinding-Larsen, Zhuoheng Chen The Russian method for prediction of hydrocarbon resources of continental shelves, with examples from the Barents sea Original Research Article Pages 115-122 K.

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Book Series: Norwegian Petroleum Society Special Publications

quantification and prediction of hydrocarbon resources sinding larsen r dor a g

Cross-validation of the two methods applied to the same play can sharpen the focus of each method if used individually, as well as capitalize on the strong points of both methods if used in an integrated approach. Modelling the hydrocarbon system of the North Viking Graben. The Russian method for prediction of hydrocarbon resources of continental shelves, with examples from the Barents Sea -- Chapter 12. Concerning the future availability of natural resources the fixed stock paradigm is contrasted with the opportunity cost paradigm that takes into account the inherent dynamics of market forces and changing technology. Synthetic seismic generated from hypothetical wellbores can be used to calibrate the spatial variations of subsurface properties.

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