The present time is characterized by increased number of features with complex geology and poor exploration maturity where the target interval is represented by thin pays and heavy lithologic heterogeneity. In most cases, seismic inversion is used to prospect such features; however, quality seismic inversion calculation is quite a labor-and-resource intensive process; given the increasing demand for the acceleration of exploration projects and fast provision of spud-in locations, the need arises for the development and provision of an inversion-building method whose quality would be no worse than that of syncronous inversion and which could be done faster. This manuscript aims at the developing and benchmarking of a new approach to acoustic impedance forecast. The manuscript describes an acoustic impedance reconstruction algorithm built on wavefield spectral inversion and allowed for low-frequency model based on well logs. To prove its applicability, we tested it using model data, as well as based on an East Siberian field case as part of which the accuracy of reconstruction properties was benchmarked using standard and suggested approach.

Translated title of the contributionUsing spectral inversion to build acoustic impedance exemplified by an East Sibirian field
Original languageRussian
Title of host publicationSociety of Petroleum Engineers - SPE Russian Petroleum Technology Conference 2019, RPTC 2019
PublisherSociety of Petroleum Engineers
ISBN (Electronic)9781613996928
StatePublished - 2020
EventSPE Russian Petroleum Technology Conference 2019, RPTC 2019 - Moscow, Russian Federation
Duration: 22 Oct 201924 Oct 2019

Publication series

NameSociety of Petroleum Engineers - SPE Russian Petroleum Technology Conference 2019, RPTC 2019

Conference

ConferenceSPE Russian Petroleum Technology Conference 2019, RPTC 2019
Country/TerritoryRussian Federation
CityMoscow
Period22/10/1924/10/19

    Scopus subject areas

  • Geophysics
  • Geotechnical Engineering and Engineering Geology
  • Fuel Technology
  • Geochemistry and Petrology

ID: 88694869