Network


Latest external collaboration on country level. Dive into details by clicking on the dots.

Hotspot


Dive into the research topics where Jared Peacock is active.

Publication


Featured researches published by Jared Peacock.


genetic and evolutionary computation conference | 2012

Application of evolutionary methods to 3D geoscience modelling

Bradley Alexander; Stephan Thiel; Jared Peacock

Geoscience modelling plays a vital role in mapping and tracking the earths resources. Magnetotellurics, which maps the electrical resistivity of the subsurface, is a useful and cost-effective sounding-technique for sensing over a broad scale at depth. However, due to the inherent difficulty in sensing at depth, models produced using MT have a degree of uncertainty. Geoscientists can reduce this uncertainty by producing multiple alternative models, and using multiple modelling techniques and settings, to correlate robust model features with field data responses. Population-based evolutionary search techniques are of interest to MT modelling because they offer an alternative to deterministic techniques, and are able to produce multiple models for analysis. Unfortunately, evolutionary techniques have not been successfully applied to 3D MT modelling. In this work we describe a new, more compact, representation of MT models using volumetric functions. Using this representation we successfully apply evolutionary search techniques to 3D MT modelling for both artificial and real models and show how the development of large scale features during modelling can be correlated with the models fit to field data.


Nature Geoscience | 2018

Crustal inheritance and a top-down control on arc magmatism at Mount St Helens

Paul A. Bedrosian; Jared Peacock; Esteban Bowles-Martinez; Adam Schultz; Graham J. Hill

In a subduction zone, the volcanic arc marks the location where magma, generated via flux melting in the mantle wedge, migrates through the crust and erupts. While the location of deep magma broadly defines the arc position, here we argue that crustal structures, identified in geophysical data from the Washington Cascades magmatic arc, are equally important in controlling magma ascent and defining the spatial distribution and compositional variability of erupted material. As imaged by a three-dimensional resistivity model, a broad lower-crustal mush zone containing 3–10% interconnected melt underlies this segment of the arc, interpreted to episodically feed upper-crustal magmatic systems and drive eruptions. Mount St Helens is fed by melt channelled around a mid-Tertiary batholith also imaged in the resistivity model and supported by potential–field data. Regionally, volcanism and seismicity are almost exclusive of the batholith, while at Mount St Helens, along its margin, the ascent of viscous felsic melt is enabled by deep-seated metasedimentary rocks. Both the anomalous forearc location and composition of St Helens magmas are products of this zone of localized extension along the batholith margin. This work is a compelling example of inherited structural control on local stress state and magmatism.Crustal structures are as important as deep mantle melting in controlling magma ascent and the composition and distribution of erupted material, according to 3D resistivity modelling, geophysical data and the distribution of Quaternary volcanism.


GEM Beijing 2011 | 2011

Progress towards magnetotelluric time lapse monitoring of enhanced geothermal system fluids

Xiong Li; Yaoguo Li; Xiaohong Meng; Jared Peacock; Stephan Thiel; Graham Heinson; Peter Reid

Realization of enhanced geothermal systems (EGS) prescribes the need for novel technology to monitor fluid inclusion at depth. Magnetotellurics (MT) is a relatively cheap method that is sensitive to electrical conductivity contrasts as a function of depth. It is proposed that MT can be employed to monitor areal extent of an EGS reservoir by collecting measurements before, during and after fluids are injected. 3D forward modeling suggests changes in the MT response will be small, on the order of a few degrees in phase. Repeatability of the MT response is important and it is shown that most stations are with in a few percent. Presented are 3D forward models, repeatability confidence from apparent resistivity and phase as well as phase tensor analysis.


Geophysics | 2013

Time-lapse magnetotelluric monitoring of an enhanced geothermal system

Jared Peacock; Stephan Thiel; Graham Heinson; Peter Reid


Geophysical Research Letters | 2012

Magnetotelluric monitoring of a fluid injection: example from an enhanced geothermal system

Jared Peacock; Stephan Thiel; P. Reid; Graham Heinson


Computers & Geosciences | 2014

MTpy: A Python toolbox for magnetotellurics

Lars Krieger; Jared Peacock


Geophysical Research Letters | 2016

Three-dimensional electrical resistivity model of the hydrothermal system in Long Valley Caldera, California, from magnetotellurics†

Jared Peacock; Margaret T. Mangan; Darcy K. McPhee; Phil Wannamaker


Journal of Volcanology and Geothermal Research | 2014

Characterisation of induced fracture networks within an enhanced geothermal system using anisotropic electromagnetic modelling

Jake Macfarlane; Stephan Thiel; Josef Pek; Jared Peacock; Graham Heinson


Journal of Geophysical Research | 2015

Imaging the magmatic system of Mono Basin, California, with magnetotellurics in three‐dimensions

Jared Peacock; Margaret T. Mangan; Darcy K. McPhee; David A. Ponce


Geophysical Research Letters | 2013

Montserrat geothermal system: A 3D conceptual model

G. Ryan; Jared Peacock; Eylon Shalev; John Rugis

Collaboration


Dive into the Jared Peacock's collaboration.

Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar
Top Co-Authors

Avatar

Peter Reid

Commonwealth Scientific and Industrial Research Organisation

View shared research outputs
Top Co-Authors

Avatar

Darcy K. McPhee

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar

Margaret T. Mangan

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar
Top Co-Authors

Avatar

David A. Ponce

United States Geological Survey

View shared research outputs
Top Co-Authors

Avatar

Kate Selway

University of Adelaide

View shared research outputs
Researchain Logo
Decentralizing Knowledge