Dear All
I am looking for a PDRA to work on a seismic interpretation uncertainty project with me in Aberdeen, in conjunction with BP and ConocoPhillips. This is a NERC funded post-doc through their oil and gas catalyst scheme.
Details can be found below, applications must be made online (apologies for the link length)
https://atsv7.wcn.co.uk/search_engine/jobs.cgi?SID=amNvZGU9MTQzNzQyNCZ2dF90ZW1wbGF0ZT0xMDg2Jm93bmVyPTUwNDIyMzgmb3duZXJ0eXBlPWZhaXImYnJhbmRfaWQ9MCZ2YWNmaXJtLnZhY3RpdGxlPWZlbGxvdyZwb3N0aW5nX2NvZGU9MjY3JnJlcXNpZz0xNDEyODU1NTk1LWY5MGZhYWFiMDE3ZTFjODFkYmIyMGMyODQwNTQwYjZjZjY0OGNlZjk=
Please feel free to contact me directly [log in to unmask] for informal enquiries.
Best wishes
Clare
Research Fellow: Improving Interpretation Outcomes: quantifying biases and designing workflows for better seismic interpretation
Geological exploration and production of hydrocarbon provinces requires a 3D picture to be built of the sub-surface. This picture is made up of remotely sensed information like seismic reflection data with variable resolution, and 1D point sources such as well bores which sample a relatively small amount of the subsurface volume of interest. Work on improving interpretation of these datasets has mainly focused on technological improvements to refine the imaging and processing of remotely sensed data to better illuminate the subsurface architecture. But even with improved techniques interpretations of the data the subsequent models created are uncertain. This uncertainty equates to exploration and production risk. The risk results from the lack of constraint from the data to create a ‘certain’ predictive model, and is amplified by known biases that are applied during interpretation of limited datasets. This joint industry catalyst project will quantify the effect of known biases on interpretation of seismic reflection datasets and to build a workflow that minimizes biases in interpretation.
The Research Fellow will be responsible for designing and delivering a set of experiments to test the influence of biases on interpretation outcome for seismic image (and other subsurface) data. The initial experiments will focus on the impact of anchoring on interpretation. The research fellow will spend time with industry partners (BP and ConocoPhillips) to better understand their interpretation and model building workflows and to co-design effective experiments. Trial experiments will be undertaken on student cohorts in Aberdeen, followed by industry experiments in Aberdeen, London and Houston. The research fellow will be expected to build effective working partnerships with industry representatives, and have excellent communication and networking skills. Knowledge and skills in Statistics (Bayesian Analysis) and expert elicitation would be useful. The research fellow will present the research outcomes to industry partners and at international conferences, and will build a series of workshop modules for training.
This is an exciting project employing psychological and statistical methods to improve interpretation and geological model building to better understand uncertainties in sub-surface models.
Informal enquiries can be made to Dr Clare Bond by telephone (01224 273492) or email ([log in to unmask]).
The University of Aberdeen is a charity registered in Scotland, No SC013683.
Tha Oilthigh Obar Dheathain na charthannas clàraichte ann an Alba, Àir. SC013683.
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