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Wong, Mandy (Stanford University) | Biondi, Biondo (Stanford University) | Ronen, Shuki (Stanford University)

We presents a technique for imaging both primaries and multiples using linearized inversion. Linearized full-wave inversion (LFWI) makes use of the multiple energy as signal while removing the crosstalk in the image. We demonstrate the concept and methodology in 2D with a synthetic Sigsbee2B model.

annual international meeting, artifact, crosstalk artifact, geophysics, Imaging, interface, inversion, linearized full-wave inversion, migration, migration operator, migration velocity, multiple energy, multiple reflection, operator, primary reflection, reflection, reflector, Reservoir Characterization, Upstream Oil & Gas, velocity model

SPE Disciplines: Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)

Wong, Mandy (Stanford University) | Ronen, Shuki (Stanford University) | Biondi, Biondo (Stanford University)

Combined ocean bottom nodes and streamer surveys offer the best of both methods: the economy of streamers and the ability of nodes to cover obstructed areas. In the past we shown that up-going and down-going (mirror) imaging can be combined in a joint inversion. We have now extend the method to joint-inversion of nodes and streamers data. Compared to conventional post-imaging merging, the joint inversion enhances resolution, suppresses migration artifacts, and more importantly, bring up the relative amplitude of true reflectors in the subfurface. We present a linearized inversion scheme for imaging narrow-azimuth (NAZ) and ocean-bottom data. Linearized inversion can enhance the resolution of the image, suppress migration artifacts, and increase the relative amplitude of true reflectors in the subsurface. We show that joint inversion can coherently combines the information from the two surveys and improve the image substantially. We demonstrate the concept and methodology in 2D with a synthetic Marmousi model.

artifact, Imaging, inversion, inversion image, joint imaging, joint inversion, linearized inversion, migration, migration image, OBN data, OBN image, OBN survey, operator, receiver, reflectivity model, reflector, Reservoir Characterization, streamer data, streamer inversion image, streamer survey, Upstream Oil & Gas

Oilfield Places:

- Europe > Norway > Norwegian Sea > Halten Terrace > Block 6608/10 > Norne Field > Tofte Formation (0.99)
- Europe > Norway > Norwegian Sea > Halten Terrace > Block 6608/10 > Norne Field > Not Formation (0.99)
- Europe > Norway > Norwegian Sea > Halten Terrace > Block 6608/10 > Norne Field > Ile Formation (0.99)
- (3 more...)

SPE Disciplines: Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)

Almomin, Ali (Stanford University) | Biondi, Biondo (Stanford University)

Tomographic Full waveform inversion (TFWI) provides a framework to invert the seismic data that is immune to cycle-skipping problems. This is achieved by extending the wave equation and adding an offset axis to the velocity model. However, this extension makes the propagation considerably more expensive because each multiplication by velocity becomes a convolution. We provide an alternative formulation which computes the backscattering and the forward scattering components of the gradient separately. To maintain high resolution results of TFWI, the two components of the gradient are first mixed and then separated based on a Fourier domain scale separation. This formulation is based on the born approximation where the medium parameters are broken into a long wavelength and short wavelength components. This approximation has an underlying assumption that the data contain primaries only without multiples. After deriving the equations, we test the theory with synthetic examples. The results of the Marmousi model show that convergence is possible even with large errors in the initial model that would have prevented convergence to conventional FWI.

annual international meeting, approximation, background component, background model, equation, gradient, initial model, inversion, Migration Velocity analysis, operator, perturbation component, Reservoir Characterization, subsurface, tomographic full waveform inversion, Upstream Oil & Gas, velocity model, wavefield, Waveform Inversion

SPE Disciplines: Reservoir Description and Dynamics > Reservoir Characterization > Seismic processing and interpretation (1.00)

We present a method for approximately inverting the Hessian of full waveform inversion as a dip-dependent and scaledependent amplitude correction. The terms in the expansion of this correction are determined by least-squares fitting from a handful of applications of the Hessian to

algorithm, application, approximate inversion, approximation, Artificial Intelligence, Curvelet transform, Demanet, freedom, Hessian, inverse Hessian, inversion, matrix, migrated image, migration, model space, operator, preconditioner, randomized matrix, reflector, Reservoir Characterization, reservoir simulation, Upstream Oil & Gas, wave-equation hessian

SPE Disciplines:

Copyright 2012, Society of Petroleum Engineers This paper was prepared for presentation at the EAGE Annual Conference & Exhibition incorporating SPE Europec held in Copenhagen, Denmark, 4-7 June 2012. This paper was selected for presentation by an SPE program committee following review of information contained in an abstract submitted by the author(s). Contents of the paper have not been reviewed by the Society of Petroleum Engineers and are subject to correction by the author(s). The material does not necessarily reflect any position of the Society of Petroleum Engineers, its officers, or members. Electronic reproduction, distribution, or storage of any part of this paper without the written consent of the Society of Petroleum Engineers is prohibited. Permission to reproduce in print is restricted to an abstract of not more than 300 words; illustrations may not be copied. The abstract must contain conspicuous acknowledgment of SPE copyright. Abstract In-well flow measurement remains as one of the most difficult tasks in the oil and gas industry, mainly due to the challenging conditions of the downhole environment. When made successfully, however, it plays a major role in monitoring and optimizing well performance, especially for the wells equipped with advanced completion devices. The increasing demand for in-well flow measurement is also driven by other factors including zonal production allocation in multizone completions as well as reliable commingled production, reduction of surface well tests and facilities, and detection of production anomalies. This paper provides a closer look at one of the state-of-art in-well flow measurement technologies: optical, strain-based, phase flow rate measurements via turbulent structure velocity and sound speed of the turbulent flow. It is an introduction to how this flow measurement technology works and how it is applied to different flow applications from single-phase injectors to multiphase producers. Specific field examples representing different flow applications are also referenced to published material. The strong and weak points of the technology are explored, and in the process, an operation envelope is produced for the use of this technology. The system response to the presence of advanced completion devices are also discussed, guidelines are given, and recommendations are made based on field and lab tests. Understanding a technology's strong and weak points before implementation is essential to ensuring that informed and successful decisions can be made concerning its use for a given application. This process is often mutually beneficial to both operators and equipment manufacturers since collaborations can lead to advancement of technology and, as a result, provide even more reliable solutions. Background The use of the phrase "intelligent well" was not common a decade ago. The reason is hidden in its definition.

application, downhole flowmeter, flow measurement, flow measurement technology, flow rate, flow velocity, flowmeter, flowmeter system, icv, in-well optical flowmeter, information, installation, operator, optical flowmeter, production control, production logging, production monitoring, Reservoir Surveillance, test separator, topside instrumentation, total flow rate, two-phase flowmeter, Upstream Oil & Gas

Country:

- Asia > Middle East (1.00)
- North America > United States > Texas (0.94)
- Europe > Denmark (0.68)
- Europe > United Kingdom (0.68)

Oilfield Places:

- North America > United States > Colorado > Piceance Basin > Buzzard Field > Williams Fork Formation (0.99)
- North America > United States > Colorado > Piceance Basin > Buzzard Field > Iles Formation (0.99)
- Asia > Middle East > Oman > Al Wusta Governorate > South Oman Salt Basin > Nimr Field (0.99)
- (4 more...)

SPE Disciplines:

An efficient two-stage algebraic multiscale solver (TAMS) that converges to the fine-scale solution is described. The first (global) stage is a multiscale solution obtained algebraically for the given fine-scale problem. In the second stage, a local preconditioner, such as the Block ILU (BILU) or the Additive Schwarz (AS) method, is used. Spectral analysis shows that the multiscale solution step captures the low-frequency parts of the error spectrum quite well, while the local preconditioner represents the high-frequency components accurately. Combining the two stages in an iterative scheme results in efficient treatment of all the error components associated with the fine-scale problem. TAMS is shown to converge to the reference fine-scale solution. Moreover, the eigenvalues of the TAMS iteration matrix show significant clustering, which is favorable for Krylov-based methods. Accurate solution of the nonlinear saturation equations (i.e., transport problem) requires having locally conservative velocity fields. TAMS guarantees local mass conservation by concluding the iterations with a multiscale finite-volume step. We demonstrate the performance of TAMS using several test cases with strong permeability heterogeneity and large-grid aspect ratios. Different choices in the TAMS algorithm are investigated, including the Galerkin and finite-volume restriction operators, as well as the BILU and AS preconditioners for the second stage. TAMS for the elliptic flow problem is comparable to state-of-the-art algebraic multigrid methods, which are in wide use. Moreover, the computational time of TAMS grows nearly linearly with problem size.

boundary condition, coarse grid, convergence, equation, finite-volume restriction operator, flow in porous media, Fluid Dynamics, grid, iteration, iteration matrix, june 2012, mass conservation, matrix, Modeling & Simulation, msfvm, operator, permeability, permeability field, preconditioner, prolongation operator, reservoir simulation, restriction operator, scaling method, TAM, Upstream Oil & Gas

Country:

- North America > United States (1.00)
- Europe (0.93)

Oilfield Places:

- Europe > Norway > North Sea > Tarbert Formation (0.99)
- Europe > Germany > North Sea > Tarbert Formation (0.99)

SPE Disciplines:

Recent advances in multiscale methods have shown great promise in modeling multiphase flow in highly detailed heterogeneous domains. Existing multiscale methods, however, solve for the flow field (pressure and total velocity) only. Once the fine-scale flow field is reconstructed, the saturation equations are solved on the fine scale. With the efficiency in dealing with the flow equations greatly improved by multiscale formulations, solving the saturation equations on the fine scale becomes the relatively more expensive part. In this paper, we describe an adaptive multiscale finite-volume (MSFV) formulation for nonlinear transport (saturation) equations. A general algebraic multiscale formulation consistent with the operator-based framework proposed by Zhou and Tchelepi (*SPE Journal*, June 2008, pages 267-273) is presented. Thus, the flow and transport equations are solved in a unified multiscale framework. Two types of multiscale operators--namely, restriction and prolongation--are used to construct the multiscale saturation solution. The restriction operator is defined as the sum of the fine-scale transport equations in a coarse gridblock. Three adaptive prolongation operators are defined according to the local saturation history at a particular coarse block. The three operators have different computational complexities, and they are used adaptively in the course of a simulation run. When properly used, they yield excellent computational efficiency while preserving accuracy. This adaptive multiscale formulation has been tested using several challenging problems with strong heterogeneity, large buoyancy effects, and changes in the well operating conditions (e.g., switching injectors and producers during simulation). The results demonstrate that adaptive multiscale transport calculations are in excellent agreement with fine-scale reference solutions, but at a much lower computational cost.

basis function, coarse block, Computation, construction, correction function, equation, formulation, full construction, iteration, march 2012, Modeling & Simulation, Multiscale Method, operator, prolongation operator, reservoir simulation, saturation, saturation equation, scaling method, Tchelepi, Timestep, transport equation, Upstream Oil & Gas, velocity field

SPE Disciplines:

Thank you!