Schlumberger Technology Corporation

Services Petroliers Schlumberger

Schlumberger Holdings Limited

Igor Andreevich Varfolomeev

Dmitry Anatolievich Koroteev

Alexander Nadeev

Ivan Victorovich Yakimchuk

Sergey Sergeevich Safonov

Denis Klemin

Dmitry Alexandrovich Korobkov

Mark Andersen

Alexander Nikolaevich Nadeev

Andrey Vladimirovich Kazak

Ivan Viktorovich Yakimchuk

Denis Vladimirovich Klemin

Ivan Yakimchuk

Evaluating structural changes in a sample resulting from a treatment of the sample. At least one sample of the material is scanned before and after the treatment and a first and a second image of the sample are obtained. The first and the second images are registered in a full spatial resolution using at least one region of the first image and at least one region of the second image, the regions corresponding to the same part of the sample. The registered images are analyzed and the changes in each sample caused by the performed treatment are evaluated.

Method for evaluating structural changes of a sample resulting from a treatment of the sample

A method and system for analysis of a digital core image obtained from a sample are disclosed. The method includes performing segmentations on the digital core image using multiple approaches to obtain multiple segmented images which are statistically analyzed to select the most suitable approach of the multiple approaches. Thereafter, a digital core model is generated using the segmented image corresponding to the most suitable approach. A simulation test may be performed on the digital core model to obtain a model test result and an oilfield operation may be performed based on the model test result. The system includes measurement and testing equipment to obtain the digital core image and a computing system including a data repository for storing a digital core image and a digital core model, and a digital core modeling tool. The digital core modeling tool performs the segmentations, statistical analysis, and generates the digital core model.

Digital core model construction

A method for estimating porosity of a rock sample comprises the steps of defining a total mineral content of a sample, determining relative volume fractions for each mineral and determining X-ray attenuation coefficients for the defined minerals. Then, a first X-ray attenuation coefficient for a synthetic sample combined from the same minerals with the same volume fractions but with no pores is determined. X-ray micro/nanoCT scanning of the sample is performed and a second X-ray attenuation coefficient for the rock sample is determined. Porosity can be calculated as for a sample filled with a gas, water or light hydrocarbons, so for a sample which pores are filled with heavy hydrocarbons, or other liquid/gases with X-ray attenuation coefficient comparable with X-ray attenuation coefficient for the rock sample or for the synthetic sample.

Method for estimating porosity of a rock sample

A method for building a 3D model of a rock sample comprises performing X-ray micro/nanoCT scanning of a rock sample and obtaining its initial three-dimensional microstructure image in a gray scale. Then, an analysis of the obtained three-dimensional image of the rock sample is performed and a binarization method is selected in dependence of the image quality and properties of the rock sample. The selected binarization method is at least once applied to the obtained initial three-dimensional image of the sample. Obtained 3D binarized image represents a 3D model of the rock sample.

Method for building a 3D model of a rock sample

Growing community of inventors

Moscow, Russia

Igor Andreevich Varfolomeev