A Monte Carlo approach to constraining uncertainties in modelled downhole gravity gradiometry applications
| Autor: | Craig O'Neill, Samuel J. Matthews, Mark Lackie |
|---|---|
| Rok vydání: | 2017 |
| Předmět: |
Gravity (chemistry)
Anomaly (natural sciences) Monte Carlo method Borehole Geology 02 engineering and technology Geophysics 010501 environmental sciences 01 natural sciences Gravity gradiometry Geological structure Open source 020401 chemical engineering 0204 chemical engineering 0105 earth and related environmental sciences |
| Zdroj: | Exploration Geophysics. 48:305-315 |
| ISSN: | 1834-7533 0812-3985 |
| DOI: | 10.1071/eg15039 |
| Popis: | Gravity gradiometry has a long legacy, with airborne/marine applications as well as surface applications receiving renewed recent interest. Recent instrumental advances has led to the emergence of downhole gravity gradiometry applications that have the potential for greater resolving power than borehole gravity alone. This has promise in both the petroleum and geosequestration industries; however, the effect of inherent uncertainties in the ability of downhole gravity gradiometry to resolve a subsurface signal is unknown. Here, we utilise the open source modelling package, Fatiando a Terra, to model both the gravity and gravity gradiometry responses of a subsurface body. We use a Monte Carlo approach to vary the geological structure and reference densities of the model within preset distributions. We then perform 100 000 simulations to constrain the mean response of the buried body as well as uncertainties in these results. We varied our modelled borehole to be either centred on the anomaly, adjacent to t... |
| Databáze: | OpenAIRE |
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