BR112012022450A2 - computational injections of active noise to improve predictability of oil and gas reservoir discoveries and characterization - Google Patents

computational injections of active noise to improve predictability of oil and gas reservoir discoveries and characterization

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Publication number
BR112012022450A2
BR112012022450A2 BR112012022450A BR112012022450A BR112012022450A2 BR 112012022450 A2 BR112012022450 A2 BR 112012022450A2 BR 112012022450 A BR112012022450 A BR 112012022450A BR 112012022450 A BR112012022450 A BR 112012022450A BR 112012022450 A2 BR112012022450 A2 BR 112012022450A2
Authority
BR
Brazil
Prior art keywords
characterization
computational
seismic
discoveries
injections
Prior art date
Application number
BR112012022450A
Other languages
Portuguese (pt)
Inventor
Sandeep Gulati
Original Assignee
Vialogy Llc
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Vialogy Llc filed Critical Vialogy Llc
Publication of BR112012022450A2 publication Critical patent/BR112012022450A2/en

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Classifications

    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
    • G01V1/00—Seismology; Seismic or acoustic prospecting or detecting
    • G01V1/28—Processing seismic data, e.g. analysis, for interpretation, for correction
    • G01V1/30—Analysis
    • G01V1/306—Analysis for determining physical properties of the subsurface, e.g. impedance, porosity or attenuation profiles

Abstract

injeções computacionais de ruído ativo para melhorar a previsibilidade de descobertas de reservatórios de petróleo e gás e a caracterização. aplicação de ressonância interferometria não-linear é introduzida como uma nova abordagem para melhorar a previsibilidade geofísica na caracterização da porosidade do subsolo, da rocha, e as propriedades dos fluidos. em contraste com os métodos de observação que coletam informações aleatórias dos sons, a ressonância inteferometria não linear explora os espectro de aquisição sísimica total para avaliar como a baixa frequência e a alta frequência de som é diferencialmente e diretamente modulada por diferentes níveis de porosidade e teor de hidrocarbonetos nas litologias de interesse. em alguns exemplos, os sistemas e técnicas de implementar novas interações computacionais entre atributos sísmicos de campo de ondas adquiridos em um sistema não-linear em software para amplificar distorções no ruído sísmico e de exploração de injeção de ruído sintético, em formato de software, para detectar armadilhas de hidrocarbonetos e mudanças na escala da litologia espaciais abaixo da resolução sísmica, aumentando assim o valor da informação dos dados de baixa resolução. as técnicas são amplamente aplicáveis a decorrer o risco dos fragmentários convencionais e resevatórios de carbono e perspectivas de recursos não convencionais de xisto de gás.computational injections of active noise to improve predictability of oil and gas reservoir discoveries and characterization. Nonlinear interferometry resonance application is introduced as a new approach to improve geophysical predictability in the characterization of subsurface porosity, rock, and fluid properties. In contrast to observation methods that gather random sound information, nonlinear interferometry resonance explores the total seismic acquisition spectrum to assess how low frequency and high frequency sound are differentially and directly modulated by different porosity and content levels. hydrocarbons in the lithologies of interest. In some examples, systems and techniques for implementing new computational interactions between seismic wavefield attributes acquired in a nonlinear software system to amplify distortions in seismic noise and synthetic noise injection exploration, in software format, to detect hydrocarbon traps and spatial lithology scale changes below seismic resolution, thereby increasing the value of low resolution data information. The techniques are widely applicable to the risk of conventional fragmentary and carbon resevatories and unconventional gas shale resource perspectives.

BR112012022450A 2010-03-05 2011-03-07 computational injections of active noise to improve predictability of oil and gas reservoir discoveries and characterization BR112012022450A2 (en)

Applications Claiming Priority (3)

Application Number Priority Date Filing Date Title
US31122710P 2010-03-05 2010-03-05
US32703510P 2010-04-22 2010-04-22
PCT/US2011/027456 WO2011109839A2 (en) 2010-03-05 2011-03-07 Active noise injection computations for improved predictability in oil and gas reservoir discovery and characterization

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BR112012022450A2 true BR112012022450A2 (en) 2016-07-12

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EP (1) EP2542918A2 (en)
CN (1) CN102893183A (en)
BR (1) BR112012022450A2 (en)
CA (1) CA2792052A1 (en)
MX (1) MX2012010271A (en)
RU (1) RU2012142308A (en)
WO (1) WO2011109839A2 (en)

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Publication number Publication date
RU2012142308A (en) 2014-04-10
EP2542918A2 (en) 2013-01-09
WO2011109839A3 (en) 2011-12-29
WO2011109839A2 (en) 2011-09-09
MX2012010271A (en) 2012-12-17
CN102893183A (en) 2013-01-23
CA2792052A1 (en) 2011-09-09

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