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- Volume 42, Issue 9, 2024
First Break - Volume 42, Issue 9, 2024
Volume 42, Issue 9, 2024
- Technical Article
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Advanced Agent-Based Modelling of Subsurface Migration and Accumulation Dynamics of Hydrocarbons
More LessAbstractAdvanced agent-based modeling (ABM) has been employed to simulate hydrocarbon migration and accumulation within diverse geological environments, providing a detailed representation of these subsurface processes. By treating hydrocarbon molecules as autonomous agents, the model captures the intricate interactions within digital subsurface environments, including sandstone, silt, and shale facies. The approach uncovers how geological traps, such as anticline formations and faulted structures, influence hydrocarbon accumulation, revealing patterns previously challenging to model with conventional methods. Additionally, the research addresses scaling challenges in ABM, offering insights into solutions like parallel computing. The findings not only advance petroleum geoscience but also suggest broader applications in environmental studies and resource management.
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- Special Topic: Reservoir Engineering & Geoscience
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Value of PS Waves for 3D and 4D AVO Inversion
Authors Ali Tura, James Simmons, Matthew Copley, Marihelen Held, Andrea Damasceno and Joseph StittAbstractAmplitude variation with offset/angle (AVO/AVA) is used to estimate three key parameters of the subsurface. Here we show that joint inversion of PP and PS data can significantly improve estimation of these three parameters and therefore success of exploration and production well decisions. These three isotropic medium AVO/AVA parameters can be formulated in various ways, say P-impedance (Zp), S-impedance (Zs) and density, or say P-impedance (Zp), P-velocity/S-velocity (Vp/Vs) ratio and density, etc. Fundamentally, independent of the formulation chosen, given one set of these three parameters any other set can be obtained. As such, with this understanding, here we choose the P-impedance, S-impedance and density parameterisation for the inversions. With these inversion parameters we show on multiple 3D and 4D field data sets that joint inversion of PP and PS AVO seismic data can improve the quality of S-impedance (or the second parameter) to the quality of P-impedance (or the first parameter) versus using PP AVO data alone. Further, even though it is very difficult to invert for the third (or density) parameter from surface seismic data, we show that joint inversion with PP and PS data significantly improves accuracy of the third parameter as well. The implications are that exploration and production success can be improved by using converted PS-waves in a joint PP-PS inversion versus PP-wave reflections alone when such multi-component data are available.
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Enhanced Oil Recovery Techniques in Low Permeability Unconventional Shale Reservoirs
Authors H. Kazemi, Luis E. Zerpa, Ilker O. Uzun, Kaveh Amini and Asm KamruzzamanAbstractOil and gas production from very low permeability shale reservoirs became a reality in the 1990s when Mitchel Energy developed novel fracking techniques, but the road ahead was very challenging until around 2008 when oil and gas production from low permeability shale reservoirs became a significant component of total oil and gas production in the US The US Energy Information Administration (EIA) estimates that in 2023, about 3.04 billion barrels (or about 8.32 million barrels per day) of crude oil were produced directly from tight-oil resources in the United States. This was equal to about 64% of total US crude oil production in 2023. Also, the current ultimate amount of oil production from such reservoirs is in the range of 3 to 8% of the in-place oil. Furthermore, the production rates from such reservoirs decline rapidly; thus, there is a compelling need for techniques to produce at least some of the enormous amounts of the remaining reservoir oil.
The classical waterflooding or gas flooding used in conventional reservoirs is not plausible in unconventional shale reservoirs because the injection fluid displacement velocities are extremely small which prohibits oil displacement through any injection-production well pattern. Therefore, creative and imaginative approaches are needed to increase oil production without relying on injecting large quantities of water or gas to produce additional incremental oil. The current techniques include two vastly different cyclic injection-production methods—known as the huff-n-puff process. The first method involves injecting either CO2 or rich gas in a multi-stage, hydraulically fractured, production well and soaking for a few days, then producing the same well which generally would yield substantially increased oil flow rates. The second method involves injecting low concentrations of aqueous solutions containing surfactants or mutual solvents. This method is also applied as a huff-n-puff process similar to the gas injection huff-n-puff process. The gas injection huff-n-puff process requires expensive high-pressure injection compressors while solvent injection huff-n-puff requires simpler and less expensive water injection pumps.
The mechanism of oil mobilisation by gas injection is generally due to mass transfer across gas-oil interface by molecular diffusion resulting in oil swelling, miscibility, viscosity reduction, and favourable shift in residual oil saturation in the oil relative permeability function. On the other hand oil mobilisation by surfactant solutions or mutual solvents includes reduction of the oil-water interfacial tension in the surfactant case, wettability alteration by surfactant and mutual solvents, and shift in residual oil saturation in the relative permeability function. Additionally, using a brine containing a mutual solvent or a surfactant results in substantial additional oil recovery first by cleaning the micro- and macro-fracture flow paths in the stimulated reservoir volume followed by changes in IFT, wettability, and irreducible oil solubilisation. In this paper we will present laboratory results, mathematical modelling concepts, and field results to illustrate each of the above processes.
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Development of Tailored Wellbore Sealants for CCS and Other Geological Storage Applications
Authors Reinier van Noort, Anne Pluymakers, Kai Li, Benny Suryanto and Gerry StarrsAbstractThe development of new geological storage applications and other uses of subsurface reservoirs requires tailored wellbore sealants, able to withstand application-specific exposure conditions. For example, wellbore sealants used in reservoirs targeted for CO2-storage will be exposed to CO2-rich fluids, that may chemically attack OPC-based sealants, leading to carbonation and potential degradation. During CO2-injection, local temperature changes around the injection well may also affect the integrity of the sealant-wellbore system, for example causing the formation of annuli between sealant and steel casing due to differences in thermal expansion. The research project CEMENTEGRITY aims to identify the key sealant properties that may help to ensure the long-term integrity of the wellbore-seal system during CO2-injection and storage, as well as the best testing methods for these properties. This is done by testing five different sealant compositions, exposing them to potentially deleterious impacts under different conditions. Here, we report some of the key findings of our project. While CEMENTEGRITY is researching sealants specifically for CO2-storage, other applications, such as hydrogen storage, or geothermal energy exploitation, will require purpose-built sealants that are similarly tailored to the expected chemical and physical conditions.
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The Application of Amplitude Variation with Frequency (AVF) Seismic Attribute to Map Gas Saturation Values in low Impedance Sandstone Reservoirs
AbstractThis paper discusses an approach to apply Amplitude Variation with Frequency (AVF) attributes for identifying and mapping gas-saturation values (Sg) in low impedance sand reservoirs. Rock-physics modelling and analyses were done prior to application of the approach to the log and seismic data in the Sadewa field, Kutai Basin, Kalimantan, Indonesia. Cross-plot sensitivity analysis shows that the AV F attribute derived from near-angle stacked seismic data is correlated linearly to the gas saturation value with correlation coefficient 0.94. Comparison of AVO-based density and AVF-based gas saturation (Sg) maps show that the density map can give sand distribution, but not the gas saturation, as the density is affected by lithology and porosity. On the other hand, the AV F map can show gas saturation distribution, but not the lithology and porosity. Therefore, the density and AV F maps should be combined to get the complete distribution of lithology, porosity and gas saturation.
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Volumes & issues
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Volume 42 (2024)
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Volume 41 (2023)
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Volume 40 (2022)
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Volume 39 (2021)
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Volume 38 (2020)
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Volume 37 (2019)
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Volume 36 (2018)
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Volume 35 (2017)
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Volume 34 (2016)
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Volume 33 (2015)
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Volume 32 (2014)
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Volume 31 (2013)
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Volume 30 (2012)
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Volume 29 (2011)
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Volume 28 (2010)
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Volume 27 (2009)
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Volume 26 (2008)
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Volume 25 (2007)
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Volume 24 (2006)
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Volume 23 (2005)
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Volume 22 (2004)
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Volume 21 (2003)
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Volume 20 (2002)
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Volume 19 (2001)
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Volume 18 (2000)
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Volume 17 (1999)
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Volume 16 (1998)
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Volume 15 (1997)
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Volume 14 (1996)
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Volume 13 (1995)
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Volume 12 (1994)
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Volume 11 (1993)
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Volume 10 (1992)
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Volume 9 (1991)
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Volume 8 (1990)
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Volume 7 (1989)
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Volume 6 (1988)
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Volume 5 (1987)
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Volume 4 (1986)
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Volume 3 (1985)
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Volume 2 (1984)
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Volume 1 (1983)