Article
Geochemistry & Geophysics
Emad Ghalenoei, Jan Dettmer, Mohammed Y. Ali, Jeong Woo Kim
Summary: This paper presents a new non-linear Bayesian inversion method to address the limitations of conventional regularized inversion. The method utilizes trans-dimensional partitioning and estimation to resolve subsurface structures and reduce error correlations in 2-D potential-field data. The method is applied to simulated data and field data, demonstrating its effectiveness in resolving structures and reducing error correlations.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Emad Ghalenoei, Jan Dettmer, Mohammed Y. Ali, Jeong Woo Kim
Summary: Gravity and magnetic data can resolve the Earth with variable spatial resolution, showing both discontinuous and gradual features in Earth structure. Model parametrization complexity should be able to adapt locally to the resolving power of the data to address non-uniqueness in joint inversion.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Zhengwei Xu, Guangui Zou, Qianqian Wei, Junqi Tian, Hemin Yuan
Summary: This paper develops a minimum-support focusing stabilizer to perform a joint inversion of the vertical components of gravity and magnetic data using fuzzy c-means clustering with the regularized Newton method. The new focusing joint inversion algorithm produces better images than traditional methods because the FCM function uses the structural correlation of density contrast and magnetic susceptibility as constraints, leading to more stable and realistic results.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Jie Liu, Jianzhong Zhang
Summary: This paper introduces a structure-based joint inversion method that uses seismic reflection traveltimes, slopes, and Bouguer gravity anomaly data to simultaneously build velocity and density models. The method improves the distribution and structural features of physical properties, especially in deep and complex tectonic situations.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Computer Science, Artificial Intelligence
Daniele Ancora, Andrea Bassi
Summary: The paper addresses common issues in computational imaging: recovering real signals from auto-correlations and image deconvolution. It proposes a method that tackles both problems simultaneously using I-divergence optimization and Bayesian-based iterative scheme. The method is demonstrated to be effective in recovering sharp signals from blurred auto-correlations regardless of where the blurring occurs.
IEEE TRANSACTIONS ON IMAGE PROCESSING
(2021)
Article
Geochemistry & Geophysics
Dias Urozayev, Boujemaa Ait-El-Fquih, Ibrahim Hoteit, Daniel Peter
Summary: This work proposes a method for reconstructing a subsurface model from seismic observations using a combination of discrete cosine transform and variational Bayesian approaches. The method efficiently computes estimates of the full joint posterior distributions through a DCT order-reduction scheme with a VB approximation of the posteriors.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Xin Zhang, Angus Lomas, Muhong Zhou, York Zheng, Andrew Curtis
Summary: Seismic full-waveform inversion (FWI) provides high resolution images of the subsurface by solving a highly non-linear and non-unique inverse problem using Bayesian inference. This study applies three variational inference methods (ADVI, SVGD, and sSVGD) to a 3-D FWI problem and compares their performance. The results show that ADVI is the most computationally efficient but underestimates uncertainty, while sSVGD provides the most accurate results at intermediate computational cost.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Mathematics, Applied
Emad Ghalenoei, Jan Dettmer, Mohammed Y. Ali, Jeong Woo Kim
Summary: Typical geophysical inverse problems are challenging due to their ill-posed nature and non-uniqueness. Deterministic inversion methods often apply constraints to parameter values, but this may limit inference on complex structural boundaries. Bayesian trans-dimensional approaches offer adaptive parametrizations and can avoid over-parametrization or under-parametrization. However, they depend on the choice of partitioning types and involve trade-offs between spatial resolution and correlated data errors. The presented hierarchical model incorporates trans-D parameterizations for both spatial and data noise, providing a more comprehensive uncertainty quantification that considers the trade-offs between noise and structure.
Article
Geochemistry & Geophysics
Matteo Ravasi, Claire Birnie
Summary: Structural seismic interpretation and quantitative characterization are interconnected processes that jointly estimate subsurface properties and a segmented representation of the subsurface based on user-defined classes. The inversion is primed with prior knowledge and constrained by actual seismic measurements, optimizing the quantities alternately to generate a consistent structural framework. The proposed method shows effectiveness through numerical examples on synthetic and field data sets.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Matteo Ravasi, Claire Birnie
Summary: Structural seismic interpretation and quantitative characterization are closely related processes that aim to estimate subsurface properties. A new approach to this problem is proposed in this work, utilizing user-defined macroclasses for subsurface estimation and seismic measurements for constraint. The method shows effectiveness through numerical examples on synthetic and field data sets.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Chemistry, Multidisciplinary
Abraham Del Razo Gonzalez, Vsevolod Yutsis
Summary: This paper proposes a robust numerical solution for 3D joint inversion of gravimetric and magnetic data. By using parallelization as a high-performance computing technique, the processing time is significantly reduced, and interpretation efficiency is improved. Through the analysis of performance and computational costs, the method is shown to be particularly advantageous for applications in larger domains. Testing with synthetic and field data sets demonstrate better results than standard separate inversion methods.
APPLIED SCIENCES-BASEL
(2023)
Article
Geochemistry & Geophysics
Xuejian Liu, Lianjie Huang, Zongcai Feng, George El-kaseeh, Robert Will, Robert Balch
Summary: A joint inline and crossline PWEMVA method is developed for efficient 3-D velocity model building, where the method only inverts for low-wavenumber velocity perturbations along wave paths and can reduce computational cost by less than 1% compared to full 3-D PWEMVA. The method utilizes iterative construction of a 3-D velocity model update through 1-D spline interpolation of 2-D gradients, demonstrating efficacy in numerical experiments using synthetic seismic data sets.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Jonathan Carrillo, Marco A. Perez-Flores, Luis A. Gallardo, Eva Schill
Summary: Current geophysical joint inversion methods can be roughly divided into structurally or property driven. While structural coupling plays a key role in fully heterogeneous environments, it is blind to the actual physical properties, which limit its application. On the other hand, approaches based on direct property-correlations promise strong coupled models using petrophysical linkages derived from rock physics or through the search for cross-property relationships in the objective function directly. The Correspondence Maps (CM) methodology has the potential to allow a gradual property variation that is not restricted to a predetermined number of homogeneous zones.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geochemistry & Geophysics
Miroslav Hallo, Walter Imperatori, Francesco Panzera, Donat Faeh
Summary: The physical properties of near-surface soil and rock layers are crucial in seismic site effects analysis, and can be inferred through non-linear inversion techniques. An alternative inversion technique within the Bayesian framework allows for the inference of posterior probability density in the model space.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Geochemistry & Geophysics
Xin Zhang, Andrew Curtis
Summary: The goal of a scientific investigation is to find answers to specific questions. However, the obtained answers are often biased. Interrogation theory provides a systematic way to find optimal answers by considering uncertainty estimates and designing objective functions. This study demonstrates the accuracy of interrogation theory in quantifying the size of a subsurface structure.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2022)
Article
Geosciences, Multidisciplinary
Thibaut Astic, Michel Chouteau
CANADIAN JOURNAL OF EARTH SCIENCES
(2019)
Review
Computer Science, Interdisciplinary Applications
Lindsey J. Heagy, Douglas W. Oldenburg
COMPUTERS & GEOSCIENCES
(2019)
Article
Geochemistry & Geophysics
Reza Mir, Stephane Perrouty, Thibaut Astic, Charles L. Berube, Richard S. Smith
Article
Geochemistry & Geophysics
Douglas W. Oldenburg, Lindsey J. Heagy, Seogi Kang, Rowan Cockett
EXPLORATION GEOPHYSICS
(2020)
Article
Geochemistry & Geophysics
Lindsey J. Heagy, Seogi Kang, Rowan Cockett, Douglas W. Oldenburg
EXPLORATION GEOPHYSICS
(2020)
Article
Geochemistry & Geophysics
Thibaut Astic, Douglas W. Oldenburg
GEOPHYSICAL JOURNAL INTERNATIONAL
(2019)
Article
Geochemistry & Geophysics
Seogi Kang, Douglas W. Oldenburg, Lindsey J. Heagy
EXPLORATION GEOPHYSICS
(2020)
Article
Geochemistry & Geophysics
Dominique Fournier, Lindsey J. Heagy, Douglas W. Oldenburg
Article
Geochemistry & Geophysics
Thibaut Astic, Dominique Fournier, Douglas W. Oldenburg
INTERPRETATION-A JOURNAL OF SUBSURFACE CHARACTERIZATION
(2020)
Article
Geochemistry & Geophysics
Dieter Werthmuller, Raphael Rochlitz, Octavio Castillo-Reyes, Lindsey Heagy
Summary: The study compared the use of open-source codes for large-scale 3-D controlled-source electromagnetic surveys, demonstrating that these codes can compute comparable CSEM responses for challenging models. It also highlighted various issues that need to be addressed and emphasized the importance of appropriately discretizing the model. The research provided accurate responses for different models and mesh types, showcasing the significance of the chosen discretization method.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2021)
Article
Computer Science, Interdisciplinary Applications
Jared Peacock, Karl Kappler, Lindsey Heagy, Timothy Ronan, Anna Kelbert, Andrew Frassetto
Summary: This article introduces the magnetotellurics (MT) method and its application in studying subsurface electrical structures. To enhance data discoverability and reuse, a standard time series data format is needed. A hierarchical data format (MTH5) is proposed in this paper, along with the description of relevant Python packages.
COMPUTERS & GEOSCIENCES
(2022)
Article
Geochemistry & Geophysics
Lindsey J. Heagy, Douglas W. Oldenburg
Summary: This paper examines the impact of the magnetic permeability of a steel-cased well on electromagnetic responses in grounded source experiments. Magnetic permeability slows down the decay of surface electric fields in the time domain and creates a phase shift in the frequency domain. It affects currents within and external to the casing, enhancing the inductive component of the response in the casing and generating a magnetization current on the outer wall of the casing.
GEOPHYSICAL JOURNAL INTERNATIONAL
(2023)
Article
Astronomy & Astrophysics
Anna Mittelholz, Lindsey Heagy, Catherine L. Johnson, Jonathan Bapst, Jared Espley, Abigail A. Fraeman, Benoit Langlais, Robert Lillis, William Rapin
Summary: The era of helicopter-based surveys on Mars has begun, providing opportunities for future aerial science investigations. We argue that utilizing magnetometer-based studies with aerial technology can answer key questions about early Mars evolution. Thus, we discuss mission concepts for a magnetometer-equipped helicopter on Mars, its measurements, and possible survey designs. Using magnetization models and different inversion approaches, we provide modeling groundwork and recommendations to plan the future of aerial Mars exploration.
PLANETARY SCIENCE JOURNAL
(2023)