Outputs (29)

A sequential dynamic Bayesian network for pore pressure estimation with uncertainty quantification (2017)
Journal Article
Oughton, R. H., Wooff, D. A., Hobbs, R. W., Swarbrick, R. E., & O'Connor, S. A. (2018). A sequential dynamic Bayesian network for pore pressure estimation with uncertainty quantification. Geophysics, 83(2), D27-D39. https://doi.org/10.1190/geo2016-0566.1

Pore-pressure estimation is an important part of oil-well drilling, since drilling into unexpected highly pressured fluids can be costly and dangerous. However, standard estimation methods rarely account for the many sources of uncertainty, or for th... Read More about A sequential dynamic Bayesian network for pore pressure estimation with uncertainty quantification.

Statistical management of pay-per-click processes for search engines (2016)
Book Chapter
Wooff, D., Anderson, J., & Jamalzadeh, A. (2016). Statistical management of pay-per-click processes for search engines. In P. Aston, A. Mulholland, & K. Tant (Eds.), UK success stories in industrial mathematics (297-303). Springer Verlag. https://doi.org/10.1007/978-3-319-25454-8_38

Suppose you want to buy a dishwasher. What you might do is go to a search engine such as Google or Bing and type “dishwasher” in the search field. If you are using Google, what you may see are some sponsored links (adverts), as well as the results of... Read More about Statistical management of pay-per-click processes for search engines.

Quantifying uncertainty in pore pressure estimation using Bayesian networks, with application to use of an offset well (2015)
Report
Oughton, R., Wooff, D., Hobbs, R., O'Connor, S., & Swarbrick, R. (2015). Quantifying uncertainty in pore pressure estimation using Bayesian networks, with application to use of an offset well. [No known commissioning body]

Pore pressure estimation is a crucial yet difficult problem in the oil industry. If unexpected overpressure is encountered while drilling it can result in costly challenges and leaked hydrocarbons. Prediction methods often use empirical porosity-base... Read More about Quantifying uncertainty in pore pressure estimation using Bayesian networks, with application to use of an offset well.

Modelling Uncertainty in Pore Pressure Using Dynamic Bayesian Networks (2015)
Presentation / Conference Contribution
Oughton, R., Wooff, D., Swarbrick, R., & Hobbs, R. (2015, June). Modelling Uncertainty in Pore Pressure Using Dynamic Bayesian Networks. Presented at 77th EAGE Conference & Exhibition 2015 : Earth Science for Energy and Environment., Madrid, Spain

Pore pressure prediction is vital when drilling a well, as unexpected overpressure can cause drilling challenges and uncontrolled hydrocarbon leakage. Predictions often use porosity-based techniques, relying on an idealised compaction trend and using... Read More about Modelling Uncertainty in Pore Pressure Using Dynamic Bayesian Networks.

Multiwell Deconvolution (2014)
Journal Article
Cumming, J., Wooff, D., Whittle, T., & Gringarten, A. (2014). Multiwell Deconvolution. SPE Reservoir Evaluation & Engineering, 17(04), 457-465. https://doi.org/10.2118/166458-pa

In well-test analysis, deconvolution is used to transform variablerate-pressure data into a single constant-rate drawdown suitable for interpretation. It is becoming part of a standard workflow for exploration and appraisal well-test analyses and in... Read More about Multiwell Deconvolution.

A Bayesian shifting method for uncertainty in the open-hole gamma-ray log around casing points (2014)
Journal Article
Oughton, R. H., Wooff, D. A., & O'Connor, S. A. (2014). A Bayesian shifting method for uncertainty in the open-hole gamma-ray log around casing points. Petroleum Geoscience, 20(4), 375-391. https://doi.org/10.1144/petgeo2014-006

The wireline gamma-ray log is sensitive to open-hole conditions and, in particular, the diameter. This means that the log can jump at casing points. Although environmental corrections exist, they can fail at these points. We present a Bayesian method... Read More about A Bayesian shifting method for uncertainty in the open-hole gamma-ray log around casing points.

Time-weighted multi-touch attribution and channel relevance in the customer journey to online purchase (2014)
Journal Article
Wooff, D., & Anderson, J. (2015). Time-weighted multi-touch attribution and channel relevance in the customer journey to online purchase. Journal of statistical theory and practice, 9(2), 227-249. https://doi.org/10.1080/15598608.2013.862753

We address statistical issues in attributing revenue to marketing channels and inferring the importance of individual channels in customer journeys towards an online purchase. We describe the relevant data structures and introduce an example. We sugg... Read More about Time-weighted multi-touch attribution and channel relevance in the customer journey to online purchase.

Bayes linear sufficiency in non-exchangeable multivariate multiple regressions (2014)
Journal Article
Wooff, D. (2014). Bayes linear sufficiency in non-exchangeable multivariate multiple regressions. Bayesian Analysis, 9(1), 77-96. https://doi.org/10.1214/13-ba847

We consider sufficiency for Bayes linear revision for multivariate multiple regression problems, and in particular where we have a sequence of multivariate observations at different matrix design points, but with common parameter vector. Such sequenc... Read More about Bayes linear sufficiency in non-exchangeable multivariate multiple regressions.

Practical statistical methods for call centres with a case study addressing urgent medical care delivery (2014)
Journal Article
Wooff, D., & Stirling, S. (2015). Practical statistical methods for call centres with a case study addressing urgent medical care delivery. Annals of Operations Research, 233(1), 501-515. https://doi.org/10.1007/s10479-014-1529-2

Our interest is in forecasting for call centres, and in particular out-of-hours call centres (OOHCC) which deal with patient requests for medical advice outside normal working hours. Planning needs accurate forecasts of incoming call volumes. These v... Read More about Practical statistical methods for call centres with a case study addressing urgent medical care delivery.

Multiple Well Deconvolution (2013)
Presentation / Conference Contribution
Cumming, J., Wooff, D., Whittle, T., & Gringarten, A. (2013, December). Multiple Well Deconvolution. Presented at 2013 SPE Annual Technical Conference & Exhibition, New Orleans, USA