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Hansen B.,Eriksfiord AS | Buczak J.,Petris Technology
AAPG Memoir | Year: 2010

Generating a borehole image from the original measurements of rock properties involves a series of steps. The purpose of this chapter is to explain these steps systematically. For wireline (WL)-based imaging instruments, the measurements may come from sensors placed at different depths and orientations at the borehole imaging tool. When composing the image, the position of each measurement ideally has to be calculated at the size of a pixel, a procedure involving the use of downhole accelerometers and magnetometers, which are also part of the borehole imaging tool. For logging while drilling, the imaging is based on a rotating sensor that is part of the drilling assembly: the measurements are assigned to sectors oriented in relative bearing, and image generation is far simpler. Once the measurements have been oriented in space and placed on a rectangular grid, they have to be mapped to a color scale so features of geological interest become visible. A variety of filters may be applied to remove information of a nongeological nature, and pattern recognition or thresholding methods may be used to quantify imaged rock properties. Guidelines to correct faulty input data and detect defective processing are given. Within the context of a typical image processing and interpretation workflow, data verification and image generation and processing are discussed. Aspects of image interpretation, particularly the mechanics of dip picking, are also briefly considered. Copyright © 2010 by The American Association of Petroleum Geologists. Source


Haiz S.,ENI S.p.A | Maletti G.,ENI S.p.A | Zausa F.,ENI S.p.A | Buczak J.,Petris Technology | And 2 more authors.
73rd European Association of Geoscientists and Engineers Conference and Exhibition 2011: Unconventional Resources and the Role of Technology. Incorporating SPE EUROPEC 2011 | Year: 2011

Geomechanical behaviour prediction is critical to resolving problems related to oil and gas exploration, drilling, completions, reservoir management and production. Geomechanical characterisation requires the detection, measure and estimation of rock properties and in-situ stresses. Success of the estimation relies upon accurate characterisation of geomechanical model inputs. This paper describes work recently completed to create an Integrated Geomechanics Platform that facilitates the storage of raw geomechanical data with the tools necessary to interpret and exploit that data. The particular example (of the use of the Platform) provided in this paper focuses on the realisation of a comprehensive Pre-Drill Analysis Workflow in response to the requirement to improve productivity of operated fields by focussing on Wellbore Stability issues. The innovation in this Workflow is not only related to being able to complete a complex Pre-Drill Analysis study (even in instances where data may be incomplete), but thereafter during drilling operations when non-productive time due to adverse drilling events is mitigated by a risk-based drilling plan that facilitates pre-emptive action. The Integrated Geomechanics Platform can facilitate best practice roll-out into operational groups as well as help mitigate the chronic lack of skill and expertise that has become a serious dilemma for our industry. Source

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