Dynamic Multi-parameter Interpretation of Dual-Detector Carbon/Oxygen 
Measurements

Mickael, M.; Trcka, Darryl; Pemper, Richard

doi:10.2523/56649-ms

Cited by 5 publications

(3 citation statements)

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“…We cannot and do not attempt to present here an overview of the inversion methods, but at the same time we refer the reader to works on the determination of the elemental composition [9][10][11][12][13]42] as certain necessary guidelines. In contrast to the approximate approaches, this section deals with the exact method.…”

Section: The Recovery Of the Composition Of Oil Water Saturated Formamentioning

confidence: 99%

“…Of course, these parameters are intermediate on the way to the true (geological) petrophysical parameters, i.e., to the content of elements, minerals, fluids, and oxides (see, for example, [2,7,38]); the definition of the latter is the second stage of the measurement data's interpretation. Sometimes inversion is performed using a synthetic approach, which combines some approximations to the transfer process and parameter dependences of the readings obtained either experimentally or by the Monte Carlo methods [see, e.g., [9][10][11]]. An approximate approach of a quite different type, which is directly related to PNGL, was developed in [12,13].…”

Section: Introductionmentioning

confidence: 99%

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Mathematical modeling problems connected with pulsed neutron-gamma logging

Khisamutdinov

Banzarov

2015

Math Models Comput Simul

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The work is devoted to direct and inverse problems of the transport equation in the context of a nuclear geophysical technology based on pulsed neutron gamma logging of inelastic scattering (PNGL IS). In the first part of the paper we analyze the distribution of fast neutrons from a pulsed source of 14.1 MeV and study distributions of gamma quanta of inelastic scattering. The particle dis tributions are computed by the Monte Carlo methods. In the second part of the paper we consider the problem of evaluating the elemental composition of the rock from the PNGL IS measurement data. In its solution we use the method of successive approximations over characteristic interactions, which can be classified as a simple iteration; at each iteration step we solve the corresponding direct problem for the system of neutron and gamma quantum transport equations. The main aspects of the employed method and the results of the numerical experiments that prove the convergence to the exact solution are presented.Keywords: transport equation, pulsed neutron gamma log of inelastic scattering, direct and inverse problems, Monte Carlo methods, successive approximations by the characteristic interactions

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Section: The Recovery Of the Composition Of Oil Water Saturated Formamentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Mathematical modeling problems connected with pulsed neutron-gamma logging

Khisamutdinov

Banzarov

2015

Math Models Comput Simul

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“…As the hydrogen content changes (e.g. the presence of gas or shale), there are changes in the C/O ratio that do not relate to oil saturation 5 .…”

Section: C/o Ratio In Miscible Oilmentioning

confidence: 99%

A Pulsed Neutron Analysis Model for Carbon Dioxide Floods: Application to the Reinecke Field, West Texas

Odom¹,

Hogan²,

Rogers³

et al. 2000

All Days

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Crucial Factors for in-Situ CO2 Monitoring in CO2-EOR Projects Using Pulsed Neutron Well Logging

Kim,

Akang

2024

Day 3 Thu, May 09, 2024

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Carbon dioxide (CO2) injection for enhanced oil recovery (EOR), also known as CO2-EOR, has become increasingly important due to the growing need for CO2 utilization and sequestration. CO2 monitoring is an integral part of the CO2- EOR process. Pulsed neutron (PN) well logging is an efficient and effective technology for understanding subsurface CO2 propagation and quantifying multiphase saturation. This paper discusses the critical factors—well conditions and reservoir properties—in designing a PN well logging program and analyzing PN data. The Monte Carlo N-Particle (MCNP) simulation is a stochastic forward modeling method that generates PN tool responses under diverse well and formation conditions. With a series of MCNP models, including perturbations of various well logging environments, the characteristics of key PN measurements were delineated. This enabled the establishment of best practices in PN well logging operations and data analysis for in-situ CO2 profiling. The requirement for the PN tool is to be slim in terms of the outer diameter (i.e., 1.69 inches), allowing through-tubing deployment, and to have three scintillation gamma-ray detectors, enhancing the formation sensitivity compared to traditional dual detector-based PN tools. We constructed MCNP models of time-spectra-based well logs; inelastic and thermal neutron capture logs were simulated considering several vital parameters—wellbore fluid, formation lithology, annular space materials, in-situ oil and CO2 densities, and reactions between CO2 and formation minerals and resident fluid. The type of wellbore fluid is water, CO2, or a mixture of the two depending on the well type—injection, monitoring, or production well. Although a water-filled wellbore is optimal for PN well logging, a CO2- filled wellbore does not adversely impact CO2 monitoring to a high degree if a sleeved-PN tool is used. As formation lithology types and water salinity influence inelastic and capture PN measurements differently, determining which PN log should be used for CO2 saturation analysis is essential. The impact of the shale volume and properties on the PN data is nonuniform, so this factor must also be carefully reviewed in conjunction with the lithology type. Furthermore, accurate estimation of oil and CO2 densities under downhole conditions minimizes the uncertainty of multiphase fluid saturation characterization. Finally, considering the effects of mineral alteration and formation dry-out is required when evaluating saturation in post-injection stages. It is crucial to consider well- and formation- specific factors to ensure accurate monitoring of in-situ CO2 propagation and multiphase fluid volume variation with PN well logging. The best practices for PN well logging and data analysis were evaluated using a customized MCNP modeling technique. Furthermore, surveilling the behavior of injected CO2 on a well basis enables the optimization of CO2 injection parameters and the updating of reservoir models on a field-scale level.

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Dynamic Multi-parameter Interpretation of Dual-Detector Carbon/Oxygen Measurements

Cited by 5 publications

References 0 publications

Mathematical modeling problems connected with pulsed neutron-gamma logging

Mathematical modeling problems connected with pulsed neutron-gamma logging

A Pulsed Neutron Analysis Model for Carbon Dioxide Floods: Application to the Reinecke Field, West Texas

Crucial Factors for in-Situ CO2 Monitoring in CO2-EOR Projects Using Pulsed Neutron Well Logging

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