Recent Developments in Applied Biostratigraphy
In recent years the application of biostratigraphy to hydrocarbon exploration and development has become increasingly important both scientifically and economically. The demand for higher stratigraphical resolution in field development studies has resulted in the utilization of new approaches. However, in under-explored areas with little reliable primary biostratigraphical data, conventional methods using relatively coarse biozonations still have relevance. The aim of this volume is to encourage an exchange of ideas and to seed new research initiatives particularly within integrated multidisciplinary teams. The papers are divided into four main themes which cover a broad range of modern applications of biostratigraphy. The first three themes are: UK North Sea field development; outcrop analogues; and international exploration and development. The final section discusses new methodologies, such as the application of correspondence analysis and multivariate correlation of wells, and palynological processing techniques applicable to the wellsite.
Statistical modelling of ecological signals: A new method for biostratigraphy
Published:January 01, 2005
B. Dale, A. L. Dale, I. Prince, 2005. "Statistical modelling of ecological signals: A new method for biostratigraphy", Recent Developments in Applied Biostratigraphy, A. J. Powell, J. B. Riding
Download citation file:
Research over the past few decades has shown that recent marine dinoflagellate cyst assemblages are strongly influenced by environmental factors, and statistical modelling of ecological signals (SMES) therefore has potential application for interpretation of fossil dinocysts in biostratigraphy. Towards this end a global database of recent cyst distributions from known environments has been developed using statistical methods that most accurately reflect and quantify the ecological signals expressed by the cysts. The first test is reported here of the application of SMES to industrial biostratigraphy using a palynology dataset from four wells along an onshore-offshore transect from the Norwegian North...