Compaction — the great unknown in basin modelling

Giles, M. R.; Indrelid, Svein; James, D. M. D.

doi:10.1144/gsl.sp.1998.141.01.02

Cited by 68 publications

(53 citation statements)

References 38 publications

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“…Increasing the effective porosity from 1.4 to 3.1% can account for the observed decrease in resistivity. These porosity values are reasonable and in agreement with studies of near surface materials (Giles et al 1998). Alternatively, the change in resistivity could be explained by maintaining a constant porosity, but increasing the saturation.…”

Section: Evidence For Time Variations In Resistivitysupporting

confidence: 89%

“…Measurements on the core recovered from the A-hole by Tanaka et al (2006) reported porosity values of 8% and 30% at 1000 and 1300 m depth, respectively. Porosity typically decreases exponentially with depth (Rubey and Hubbert 1959;Giles et al 1998). However, in this case, the increase in porosity with depth is likely associated with the damage zone associated with the Chelungpu Fault zone.…”

Section: Inversion Of the Amt Datamentioning

confidence: 99%

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Fault Zone Resistivity Structure and Monitoring at the Taiwan Chelungpu Drilling Project (TCDP)

Chiang¹,

Unsworth²,

Chen³

et al. 2008

Terr. Atmos. Ocean. Sci.

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The Taiwan Chelungpu-fault drilling project (TCDP) has undertaken scientific drilling and directly sampled the sub-surface rupture of the 1999 Chi-Chi earthquake. Audio-magnetotelluric (AMT) measurements were used to investigate electrical resistivity structure at the TCDP site from 2004 -2006. These data show a geoelectric strike direction of N15°E to N30°E. Inversion and forward modeling of the AMT data were used to generate a 1-D resistivity model that has a prominent low resistivity zone (< 10 ohm-m) between depths of 1100 and 1500 m. When combined with porosity measurements, the AMT measurements imply that the ground water has a resistivity of 0.55 ohm-m at the depth of the fault zone.Time variations in the measured AMT data were observed from 2004 -2005 with maximum changes of 43% in apparent resistivity and 18°in phase. The change in apparent resistivity is greatest in the 1000 -100 Hz frequency band. These frequencies are sensitive to the resistivity structure of the upper 500 m of the hanging wall of the Chelungpu Fault. The decrease in resistivity over time appears to be robust and could be caused by an increase in porosity and a re-distribution of the groundwater.

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Section: Evidence For Time Variations In Resistivitysupporting

confidence: 89%

Section: Inversion Of the Amt Datamentioning

confidence: 99%

Fault Zone Resistivity Structure and Monitoring at the Taiwan Chelungpu Drilling Project (TCDP)

Chiang¹,

Unsworth²,

Chen³

et al. 2008

Terr. Atmos. Ocean. Sci.

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“…Giles et al (1998) introduced new parameter τ , and coupled the velocity to effective stress via empirical constants as:…”

Section: Conventional Bowers and Tau Methodsmentioning

confidence: 99%

“…proposed a power-law relationship between compressional velocity and effective stress by calculating the overburden stress and predict the pore pressure at offset well locations. Similarly, Giles et al (1998) introduced a compound mudline and matrix-transittime variable (Tau) as a first-order effective stress versus velocity power-law relationship. Later, Boitnott et al (2009) improved Bowers method by considering a normal compaction trend that is asymptotic to matrix velocities and can provide a better representation of the physical properties of the rocks.…”

Section: Introductionmentioning

confidence: 99%

Enhanced velocity based pore pressure prediction using lithofacies clustering: A case study from a reservoir with complex lithology in Dezful Embayment, SW Iran

Arabameri¹,

soleymani²,

Tokhmechi³

2018

Preprint

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Velocity based pore pressure prediction methods are widely accepted as a routine technique in the petroleum industry. Despite recent improvements, still, literature suffer from inconsistencies and uncertainties mostly arise from velocity anomalies due to complex lithostratigraphic setting or presence of various formation fluids. The primary goal of this paper is to improve the accuracy and reliability of the conventional Bowers and Tau methods in a reservoir with complex lithology. Our proposed workflow aims to improve the accuracy of the estimations by clustering the input data based on specific petrophysical characteristics. We show since each major zones at the offset test wells have a distinct compaction trend, empirical constants in Bowers and Tau methods can be calibrated for each cluster rather than the whole stratigraphic column. The clustering task was done by statistical analyses of a suite of well logs and validated with core derived lithologies. To find the best clustering algorithm, we applied and compared five techniques namely, K-means, basic sequential algorithmic scheme, single, and complete linkage hierarchical. We found that the self-organizing map (SOM) method provides the best results by maximizing lithology likelihood within each cluster and improve the overall accuracy of the Bowers and Tau methods. This research also aims to provide a systematic comparison of the mentioned clustering algorithms based on their ability in distinguishing various lithofacies. We also try to minimize the user interference in the process of clustering multiple lithofacies and improve the reproducibility of the results and demonstrate the capability of the proposed method through a case study in a reservoir in the Southwest of Iran. Satisfactory results of this study offer a safe ground for implementation of the proposed method in other sedimentary basins.

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“…Historically basin models have only been able to simulate mechanical compaction, for example by using an elastoplastic effective-stress law (Giles et al, 1998). Normally the modeler defines this law using a porosity-depth curve such as Curve B.…”

Section: Overpressure and Leakage Modeling In The Western Halten Bankmentioning

confidence: 99%

Quantitative Modeling in the North Sea: Towards a More Confident Assessment of the Critical Risks

Schneider

Hay

Walderhaug

et al. 2002

Oil & Gas Science and Technology - Rev. IFP

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Résumé -Modélisation quantitative en mer du Nord : vers une meilleure estimation des risques -La modélisation quantitative est devenue une étape classique de l'analyse des risques, à la fois pour l'analyse des systèmes pétroliers et pour la prédiction de la qualité des réservoirs. Dans cet article, elle est associée à l'évaluation prospective en mer du Nord norvégienne et dans la zone de Haltenbanken. À ce jour, la mer du Nord norvégienne et certaines parties de la zone de Haltenbanken peuvent être considérées matures. En conséquence, les analyses quantitatives portent essentiellement sur des prospects marginaux hors des zones d'alimentation connues, des prospects satellites dans et autour de gisements connus, et des prospects profonds, souvent sous hautes pressions et hautes températures (HP/HT). La compréhension des chemins de migration éloignés des zones d'alimentation connues est une clé du succès. À proximité des gisements connus, le rapport gaz/huile (GOR) constitue un facteur de risque. Dans les réservoirs HP/HT, la qualité de ces derniers et la tenue des couvertures sont les facteurs les plus importants. L'application de modèles quantitatifs dans ces environnements permet de mettre en oeuvre une méthodologie cohérente d'évaluation, de tester les conséquences des incertitudes géologiques, et d'améliorer la confiance. Dans cet article, nous illustrons tout d'abord l'utilisation de la modélisation de la migration 3D afin de comprendre les chemins de migration proches des gisements connus et éloignés des zones sources connues. Puis, nous présentons notre expérience pour reproduire les GOR observés avec l'utilisation des modèles compositionnels 2D. Enfin, nous montrons comment nous modélisons l'évolution de la porosité dans des zones HP/HT et l'influence que la diagenèse du quartz, contrôlée par la température, a sur les fuites dans les couvertures et l'évolution des pressions. Ces exemples montrent comment des outils de modélisation quantitative et de nouvelles connaissances sur les processus fondamentaux sont utilisés et développés à ce jour en mer du Nord et dans la zone de Haltenbanken. Abstract

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Compaction — the great unknown in basin modelling

Cited by 68 publications

References 38 publications

Fault Zone Resistivity Structure and Monitoring at the Taiwan Chelungpu Drilling Project (TCDP)

Fault Zone Resistivity Structure and Monitoring at the Taiwan Chelungpu Drilling Project (TCDP)

Enhanced velocity based pore pressure prediction using lithofacies clustering: A case study from a reservoir with complex lithology in Dezful Embayment, SW Iran

Quantitative Modeling in the North Sea: Towards a More Confident Assessment of the Critical Risks

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