The article deals with the development of software and algorithmic techniques for multidimensional modeling and inversion of electromagnetic logs. With many new oil and gas fields being developed in difficult geological conditions, the requirements tend to be higher for reliability and efficiency of log data interpretation. Within this research various programs and algorithms were created for electromagnetic logs modeling with the use of high-performance computing on GPUs of personal computers. On the basis of approximate approaches the effective parallel algorithms for forward computing in two-dimension geoelectric models were developed. Comparative performance assessments of the diagram computations of the oil saturated reservoir are obtained on the CPU and GPU.<\/p>\n","protected":false},"excerpt":{"rendered":"
The article deals with the development of software and algorithmic techniques for multidimensional modeling and inversion of electromagnetic logs. With many new oil and gas fields being developed in difficult geological conditions, the requirements tend to be higher for reliability and efficiency of log data interpretation. Within this research various programs and algorithms were created […]<\/p>\n","protected":false},"author":351,"featured_media":0,"comment_status":"open","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_jetpack_memberships_contains_paid_content":false,"footnotes":"","jetpack_publicize_message":"","jetpack_publicize_feature_enabled":true,"jetpack_social_post_already_shared":false,"jetpack_social_options":{"image_generator_settings":{"template":"highway","default_image_id":0,"font":"","enabled":false},"version":2}},"categories":[36,89,319,3],"tags":[1787,14,1802,20,234,1015,199],"class_list":["post-9154","post","type-post","status-publish","format-standard","hentry","category-algorithms","category-nvidia-cuda","category-electrodynamics","category-paper","tag-algorithms","tag-cuda","tag-electrodynamics","tag-nvidia","tag-nvidia-geforce-gtx-280","tag-nvidia-geforce-gtx-460","tag-tesla-c1060"],"views":1912,"jetpack_publicize_connections":[],"jetpack_featured_media_url":"","jetpack_sharing_enabled":true,"_links":{"self":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/9154","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/users\/351"}],"replies":[{"embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcomments&post=9154"}],"version-history":[{"count":0,"href":"https:\/\/hgpu.org\/index.php?rest_route=\/wp\/v2\/posts\/9154\/revisions"}],"wp:attachment":[{"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fmedia&parent=9154"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Fcategories&post=9154"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/hgpu.org\/index.php?rest_route=%2Fwp%2Fv2%2Ftags&post=9154"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}