WO2013144458A1 - Procede de determination de la composition mineralogique - Google Patents
Procede de determination de la composition mineralogique Download PDFInfo
- Publication number
- WO2013144458A1 WO2013144458A1 PCT/FR2012/050642 FR2012050642W WO2013144458A1 WO 2013144458 A1 WO2013144458 A1 WO 2013144458A1 FR 2012050642 W FR2012050642 W FR 2012050642W WO 2013144458 A1 WO2013144458 A1 WO 2013144458A1
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- WO
- WIPO (PCT)
- Prior art keywords
- mineralogical composition
- particle
- local
- model
- mineral
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
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Classifications
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V99/00—Subject matter not provided for in other groups of this subclass
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V20/00—Geomodelling in general
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V2210/00—Details of seismic processing or analysis
- G01V2210/60—Analysis
- G01V2210/66—Subsurface modeling
- G01V2210/661—Model from sedimentation process modeling, e.g. from first principles
Definitions
- the present invention relates to the field of geological soil modeling. We are particularly interested in the modeling of the evolution of the mineralogical composition and the change of facies of a geological soil.
- a facies is used to qualify a litho-stratigraphic stage, a rock or a mineral.
- a litho-stratigraphic stage a rock or a mineral.
- Drilling can be costly and can only provide limited information, as wells can be spaced more than a hundred meters apart.
- the present invention therefore improves the situation.
- the present invention proposes to model the modification of the mineralogical composition of a soil.
- the present invention thus aims at a method implemented by computer simulation of modifications of mineralogical compositions of a soil. This process comprises:
- this model comprising at least one local mineralogical composition parameter function of local coordinates in this model
- mineralogical composition parameter means a parameter representing the proportions of minerals (such as sulfur, galena, cassiterite, fluorite, calcite, colemanite, chalcantite, magnesite). , etc.) in a part of a soil, but also the proportions of other compounds chemical non-mineral type like molecules (eg. CO2, O2, etc.) or ions (Ca 2+, HCO 3, "etc.).
- minerals such as sulfur, galena, cassiterite, fluorite, calcite, colemanite, chalcantite, magnesite). , etc.
- Aggression parameter means the ability of a particle to modify a mineralogical composition parameter of a soil.
- this method makes it possible to estimate the mineralogical composition of a soil in order to estimate its petro-physical properties over time.
- the model provided can be built by geologists from point drilling data.
- This model represents for example a soil millennia ago, during its formation, its compaction, etc.
- the local mineralogical composition parameter can comprise a plurality of components, each component being able to be associated with a proportion of one type of mineral in a mineralogical composition.
- the modification of the local mineralogical composition parameter may also include modifications of the components, each component being able to be modified to a different extent.
- the local mineralogical composition parameter can comprise three components.
- the local mineral composition parameter can then include:
- calcite represents 30% of the composition of the soil.
- - a component with a value of 0.6 to indicate that dolomite represents 60% of the soil composition.
- the components can be modified to a different extent during the simulation.
- the particles introduced into the model may not have the same capacity to dissolve or precipitate the different minerals or to react with the different chemical compounds.
- a particle may have a great ability to dissolve calcite but no ability to dissolve clay.
- the modification of the mineralogical composition can be chosen from: dissolution, precipitation, change of lithology with change of porosity.
- the modification of the mineralogical composition may be parameterized by a parameter chosen from among the mineral (s) subject (s) of the modification, a maximum / minimum porosity value of the model, a maximum / minimum value of the diameter of the duct, a reactivity index for each mineral, a facies transformation, a modification inhibitor, a kinetics of the modification, a mineral to be transformed, a mineral to be created, minima and maxima of a mineral change rate.
- the modification of the component may include an increase in the proportion associated with said component.
- the modification of the component may comprise a decrease in the proportion associated with said component.
- increasing the proportion associated with the component makes it possible to simulate a precipitation of a mineral or the creation of a chemical compound in the soil
- the decrease in the proportion associated with the component makes it possible to simulate a dissolution of a mineral. a mineral or the disappearance of a chemical compound in the soil.
- steps Ibl, Here 161 and / or presented above can be performed for a plurality of particles.
- the particle may comprise a mineralogical composition parameter.
- the aggressiveness of the particle can be function:
- mineralogical composition parameter of the particle means a parameter representing the proportions of minerals present in the particle, either in suspension or in dissolved form. It is also understood that this term covers other chemical compounds of the non-mineral type, such as molecules (eg CO 2, O 2, etc.) or ions (Ca 2+ , HCO 3 " , etc.).
- the aggression parameter can comprise a plurality of components, each component of the aggressiveness being able to be associated with a capacity of the particle to dissolve or to precipitate a type of mineral in the presence of a mineralogical composition.
- this characteristic can make it possible to simulate different aggressivities of the particle according to its chemical composition and the chemical / mineralogical composition of the mesh in which it is located.
- aggression has three components [0.2; -0.9; 0]
- the simulated particle may have a low capacity to dissolve calcite (ie 0.2), a very high capacity to precipitate dolomite (ie -0.9) but no ability to dissolve or precipitate clay (ie 0).
- a device for simulating changes in the mineralogical compositions of a soil can be advantageous, in itself, since it makes it possible to provide a representation of the mineralogical composition of a soil in time.
- the present invention also relates to a device for simulating changes in the mineralogical compositions of a soil, said device being shaped to implement the steps of the method described above.
- a computer program, implementing all or part of the method described above, installed on a pre-existing equipment, is in itself advantageous, since it allows this simulation.
- the present invention also relates to a computer program comprising instructions for implementing the method described above, when this program is executed by a processor.
- FIG. 1 shows an example of a geological section in a soil of a karstic area
- FIG. 2 is an example of representation of a meshed geological model
- FIGS. 3a to 3c illustrate a phenomenon of modification of the mineralogical composition of meshes of a model in an embodiment according to the invention
- FIG. 4 shows an exemplary device for modifying the mineralogical composition of meshes of a model in an embodiment according to the invention
- FIG. 5 is a block diagram of an embodiment according to the invention.
- Figure 1 shows an example of a geological section in a soil of a karst area 1.
- This zone 1 has fractures 2, 6, and cavities 3, 5 in a rock.
- the fractures 6 and the cavities 5 can be filled with water.
- the rock may, for example, comprise limestone, or more generally carbonate rocks.
- FIG. 2 schematically shows an example of a meshed geological model according to one embodiment of the invention. This model can be used to simulate changes in petro-physical properties of a soil (particularly through the mineralogical composition of the soil), this soil being a heterogeneous sedimentary medium.
- the modeling of the karstic zone by a geological model can indeed be advantageous in the context of the simulation according to the embodiments of the invention.
- the mesh of a geological model allows the simplified simulation by means of computers and software handling in a native way these meshes.
- each particle may correspond to a drop of water, to a molecule of water.
- the meshed geological model can be two-dimensional, as in the example illustrated in Figure 2 for clarity, or advantageously three-dimensional.
- the model of FIG. 2 comprises meshes Mu, M 2 , M 2 -i, ..., M 46 , M 47, etc.
- each mesh M a geological mesh parameter value (for example a permeability value Ky) but also a mineralogical composition (noted CMy).
- the variables i and j make it possible to index in space the positions of the meshes.
- M 2 ... corresponds a permeability value KM, K 2 , etc. and a CM-M, CM-
- K permeability value
- a second medium is described by edge parameter values, for example duct diameters d 24v (vertical edge between the two nodes N 24 and N 34 ), d 3 4 h (horizontal edge between the two nodes N 34 and N 35 ), etc.
- the stochastic displacement of a particle in the second medium is probabilized taking into account these duct diameter values d 24v, etc., so as to simulate a flow of water through fractures.
- the particles can be introduced at a given node, for example Nu, or at several nodes.
- the introduction of particles can be carried out with a given periodicity.
- the particles are subject to two types of displacements: an advective displacement, and a dispersive displacement.
- the most probable displacement of the particle is called “advective displacement” (respectively “advective direction”).
- advective displacement is likely to take place according to a direction and a direction given by a hydraulic gradient corresponding to the modeled zone, to the fact that this zone is saturated or not.
- limestone lithologies can be characterized by an IRy reaction index (IDy dolomitization index respectively in the case of limestone) describing the ability of their mineralogical composition to change (respectively the capacity of the limestone to turn into dolomite).
- IRy reaction index IDy dolomitization index respectively in the case of limestone
- the particles introduced into the model can evolve during simulation the mineralogical composition parameters of the first (matrix).
- the precipitation of element in significant proportion can cause a change of lithology and thus of facies of the rock (for example: a phenomenon of dolomitization), in particular as a function of the aggressiveness of the particles, of the current (or initial) matrix CM mineral composition, of the current reaction index IRy, of the chemical content particle, etc.
- the diagenesis of the rock can also be taken into account, namely the type of action of the particles on the rock during their displacement.
- the type of action of the particles on the rock is chosen from one of the following:
- the parameters taken into account for this one can be:
- the minerals to be dissolved (chosen for example from a list comprising limestones, dolomites, dolomitic limestones, calcareous dolomites, clayey sandstone and clayey limestone, in predefined proportions),
- a reactivity index (between 0 and 1) that can be defined for each of the minerals
- the aggressiveness of the particle here describes the particle's ability to transform the lithology or chemical composition of the rock traversed.
- the particles may have variable characteristics, for example according to their coordinates in the model, according to the simulation time, according to the distance traveled by a particle, depending on the type of fluid, etc.
- the particle may lose aggression while in case of precipitation, the aggressiveness of it can be increased.
- FIGS. 3a to 3c illustrate a phenomenon of modification of the mineralogical composition of meshes of a model in an embodiment according to the invention.
- the rocks represented in the model are calcareous rocks but other compositions are conceivable such as schists and sandstones.
- Limestone rocks are easily soluble in water and mainly composed of CaCO 3 calcium carbonate.
- CaCO 3 calcium carbonate for example, here are some minerals / rocks that can participate in the composition of a rock of this type:
- Dolomite mineral composed of calcium carbonate and magnesium of chemical formula CaMg (CO3) 2 with traces of Fe; mn; Co; Pb; Zn;
- - Clay sedimentary rock, containing at least 50% alumina silicate, to which are added other minerals (quartz, feldspar, calcite, iron oxides)
- Figure 3a shows a geological model meshed in two dimensions at a moment of simulation t.
- This model comprises in a simplified way nine meshes.
- This model may have, for example, been received (step 401 of FIG. 5) by electronic simulation software, via a connection interface (for example, a USB interface, an Ethernet interface or a connection bus to a terminal). Hard disk).
- a connection interface for example, a USB interface, an Ethernet interface or a connection bus to a terminal.
- Hard disk for example, a USB interface, an Ethernet interface or a connection bus to a terminal.
- the meshes of this model each have a mineralogical composition given and fixed before the simulation.
- the mineralogical composition of the mesh M 2 i is denoted CM 2 -i (t)
- the mineralogical composition of the mesh M 22 is denoted CM 22 (t)
- the mineralogical composition of the mesh M 23 is denoted CM 23 (t).
- the model comprises a local mineralogical composition parameter that can depend on the mesh considered (ie the coordinates of the mesh considered in the model).
- a particle 103 is present in the mesh M 2 i and has an aggressiveness a (ti) (or aggression parameter).
- the aggressiveness of the particle can be represented by a segment of numerical values, each numerical value of this segment representing a capacity of the particle to modify a given mineral.
- This segment indicates in this case that the particle 103 has a high capacity to dissolve calcite (ie 0.7), a low capacity to dissolve dolomite (ie 0.3) and an average capacity to precipitate clay ( ie -0.5).
- the mineralogical composition of the mesh may also comprise, by extension of the notion, chemical compounds which are not explicitly considered as minerals: for example, the mineralogical composition of a mesh may also comprise molecules (eg CO 2 , O 2 , etc.) or ions (Ca 2+ , HCO 3 - , etc.).
- CM 21 (t 1 ) [0.8, 0.1, 0.1].
- the new proportions of the mineralogical composition (after modification) of the mesh can be determined as follows:
- step 1 intermediate values of mineralogical composition are determined by multiplying the old proportion by the corresponding aggressiveness component and subtracting the result of this calculation from the old proportion;
- step 2 once these intermediate values have been determined for each of the components, divide each of these intermediate values by the sum of the determined intermediate values.
- step 1 we would have in step 1 the following result [0.8 * (1 - 0.7); 0.1 * (1 - 0.3); 0.1 * (1 + 0.5 )] or [ ⁇ , 24, 0.07, 0.15].
- step 1 we would have in step 1 the following result [0.8 * (1 - 0.7); 0.1 * (1 - 0.3); 0.1 * (1 + 0.5 )] or [ ⁇ , 24, 0.07, 0.15].
- each of the new mineralogical composition components can be a function of a plurality of old mineralogical composition components or aggression components in order to finely represent the underlying chemical reactions.
- the aggressiveness of the particle may change (step 404 of FIG. 5). Indeed, if the particle induces a strong dissolution of calcite, it is likely that its power to dissolve such a mineral would be reduced in fact.
- the new components of the aggression (after modification) of the particle can be determined by multiplying the old component of aggressiveness by the complement to 1 of the old associated mineral component (ie corresponding at the same mineral).
- a new aggression component may be a function of a plurality of old aggression components or local mineralogical composition components in order to finely represent the underlying chemical reactions.
- the aggressiveness of the particle is a function of its "ionic" composition (or, because of language abuse, of its mineralogical composition), (for example, the concentration of acid, Ca 2+ or HCO3 " ), the chemical mechanisms of precipitation or dissolution can change the mineralogical composition of the particle, and thus change its aggressiveness.
- the particle 103 has in its mineralogical composition a high concentration of ions Ca 2+ and that the mesh M 2 i comprises in its mineralogical composition of the ion HCO3 "suspension, precipitation of calcium carbonate can occur (common situation in aquatic environments, especially marine environments).
- the concentration of Ca 2+ ions in the particle decreases and the particle loses its "aggressiveness". It should be noted that in the latter case, the aggressiveness of the particle does not depend exclusively on the particle but also on the medium in which the particle is located: the mesh M21.
- the particle 103 is found in the mesh M 2 2.
- the aggressiveness of the particle a (t-i + 1) at this instant has been modified between the times t- ⁇ and t-i + 1 according to the modifications made with the mineral composition CM21 of the mesh M 2 i.
- the mineralogical composition of the other meshes (ie M 2 2 and M23) is not modified, no particle being within these meshes between the simulation times t i and t-i + 1.
- This end criterion can also be implicit.
- this end criterion can be a maximum simulation time beyond which the simulation must stop.
- This criterion can also be the exit of the particle beyond the limits of the model, the particle no longer belonging to any mesh, no modification of the mineralogical composition is then no longer possible. If the end criterion is not validated (KO output of test 405), the process is reiterated.
- the model's mineral composition parameter is returned (message 406) (for example, for storage on hard disk via an output and write interface or for presentation to a user in graphic form via a screen or a display console).
- FIG. 4 shows an exemplary simulation device 502.
- the device 502 comprises a computer, comprising a memory 500 for storing the meshed geological model, and processing means, for example a processor 501 for perform the simulations and determine the mineralogical composition changes of said model.
- FIG. 5 is a typical example of a program whose instructions can be carried out with the simulation equipment.
- FIG. 5 may correspond to the flow diagram of the general algorithm of a computer program within the meaning of the invention.
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- General Physics & Mathematics (AREA)
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- Management, Administration, Business Operations System, And Electronic Commerce (AREA)
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- Geophysics And Detection Of Objects (AREA)
Description
Claims
Priority Applications (4)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/FR2012/050642 WO2013144458A1 (fr) | 2012-03-27 | 2012-03-27 | Procede de determination de la composition mineralogique |
| GB1415543.6A GB2515417B (en) | 2012-03-27 | 2012-03-27 | Method for determining mineralogical composition |
| US14/388,546 US20150095001A1 (en) | 2012-03-27 | 2012-03-27 | Method for determining mineralogical composition |
| NO20141271A NO347893B1 (no) | 2012-03-27 | 2014-10-24 | Fremgangsmåte for å bestemme mineralogisk sammensetning |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| PCT/FR2012/050642 WO2013144458A1 (fr) | 2012-03-27 | 2012-03-27 | Procede de determination de la composition mineralogique |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| WO2013144458A1 true WO2013144458A1 (fr) | 2013-10-03 |
Family
ID=46001305
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| PCT/FR2012/050642 Ceased WO2013144458A1 (fr) | 2012-03-27 | 2012-03-27 | Procede de determination de la composition mineralogique |
Country Status (4)
| Country | Link |
|---|---|
| US (1) | US20150095001A1 (fr) |
| GB (1) | GB2515417B (fr) |
| NO (1) | NO347893B1 (fr) |
| WO (1) | WO2013144458A1 (fr) |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016178094A1 (fr) * | 2015-05-06 | 2016-11-10 | Cgg Services Sa | Identification, quantification et prédiction de silicium libre dans une formation géologique et sa contribution aux propriétés de roches |
| WO2019239176A1 (fr) | 2018-06-14 | 2019-12-19 | Total Sa | Procédé de détermination de la géométrie d'une zone d'un réservoir |
Families Citing this family (7)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US10667456B2 (en) | 2014-09-12 | 2020-06-02 | The Climate Corporation | Methods and systems for managing agricultural activities |
| US11762125B2 (en) | 2014-09-12 | 2023-09-19 | Climate Llc | Forecasting national crop yield during the growing season |
| US11080798B2 (en) | 2014-09-12 | 2021-08-03 | The Climate Corporation | Methods and systems for managing crop harvesting activities |
| US11113649B2 (en) | 2014-09-12 | 2021-09-07 | The Climate Corporation | Methods and systems for recommending agricultural activities |
| US10564316B2 (en) | 2014-09-12 | 2020-02-18 | The Climate Corporation | Forecasting national crop yield during the growing season |
| US11069005B2 (en) | 2014-09-12 | 2021-07-20 | The Climate Corporation | Methods and systems for determining agricultural revenue |
| EP3322279B1 (fr) | 2015-07-15 | 2023-03-01 | Climate LLC | Génération de modèles numériques de nutriments disponibles pour une plante cultivée au cours du développement de la plante, basée sur des données météorologiques et du sol |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
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| GB2387000A (en) * | 2002-03-20 | 2003-10-01 | Inst Francais Du Petrole | Modelling fluid flows in a multilayer porous medium |
| EP2072752A1 (fr) * | 2007-12-20 | 2009-06-24 | Ifp | Méthode pour optimiser l'exploitation d'un gisement de fluide par prise en compte d'un terme d'échange géologique et transitoire entre blocs matriciels et fractures |
Family Cites Families (9)
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| FR2849211B1 (fr) * | 2002-12-20 | 2005-03-11 | Inst Francais Du Petrole | Methode de modelisation pour constituer un modele simulant le remplissage multilithologique d'un bassin sedimentaire |
| CA2579389A1 (fr) * | 2004-09-10 | 2006-04-06 | Exxonmobil Upstream Research Company | Procede d'evaluation de proprietes de basins sedimentaires par modelage numerique de processus de sedimentation |
| RU2565357C2 (ru) * | 2010-09-27 | 2015-10-20 | Тоталь Са | Моделирование карстообразования |
| FR2965379B1 (fr) * | 2010-09-27 | 2016-04-01 | Total Sa | Simulation de phenomene geologique |
| US9037440B2 (en) * | 2011-11-09 | 2015-05-19 | Exa Corporation | Computer simulation of fluid flow and acoustic behavior |
| FR2994309B1 (fr) * | 2012-08-06 | 2014-08-29 | Total Sa | Simulation de karstification insulaire |
| AU2014265383A1 (en) * | 2013-05-16 | 2015-11-19 | Exa Corporation | Mass exchange model for relative permeability simulation |
| US10330658B2 (en) * | 2014-06-05 | 2019-06-25 | Geocosm, LLC | Predicting sediment and sedimentary rock properties |
| US20160298427A1 (en) * | 2015-04-09 | 2016-10-13 | Schlumberger Technology Corporation | Continuum sedimentary basin modeling using particle dynamics simulations |
-
2012
- 2012-03-27 GB GB1415543.6A patent/GB2515417B/en active Active
- 2012-03-27 WO PCT/FR2012/050642 patent/WO2013144458A1/fr not_active Ceased
- 2012-03-27 US US14/388,546 patent/US20150095001A1/en not_active Abandoned
-
2014
- 2014-10-24 NO NO20141271A patent/NO347893B1/no unknown
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| GB2387000A (en) * | 2002-03-20 | 2003-10-01 | Inst Francais Du Petrole | Modelling fluid flows in a multilayer porous medium |
| EP2072752A1 (fr) * | 2007-12-20 | 2009-06-24 | Ifp | Méthode pour optimiser l'exploitation d'un gisement de fluide par prise en compte d'un terme d'échange géologique et transitoire entre blocs matriciels et fractures |
Non-Patent Citations (2)
| Title |
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| GERARD JOSEPH MASSONNAT ET AL: "Genetic-like Modelling of Hydrothermal Dolomite Reservoir Constrained by Dynamic Data", INTERNATIONAL PETROLEUM TECHNOLOGY CONFERENCE, 7 December 2009 (2009-12-07), pages 1 - 1, XP055052894, DOI: 10.2523/14054-ABSTRACT * |
| O JAQUET: "Stochastic discrete model of karstic networks", ADVANCES IN WATER RESOURCES, vol. 27, no. 7, 1 July 2004 (2004-07-01), pages 751 - 760, XP055002121, ISSN: 0309-1708, DOI: 10.1016/j.advwatres.2004.03.007 * |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2016178094A1 (fr) * | 2015-05-06 | 2016-11-10 | Cgg Services Sa | Identification, quantification et prédiction de silicium libre dans une formation géologique et sa contribution aux propriétés de roches |
| US10184906B2 (en) | 2015-05-06 | 2019-01-22 | Cgg Services Sas | Identification, quantification and prediction of free silicon in geological formation and its contribution to rock properties |
| WO2019239176A1 (fr) | 2018-06-14 | 2019-12-19 | Total Sa | Procédé de détermination de la géométrie d'une zone d'un réservoir |
Also Published As
| Publication number | Publication date |
|---|---|
| GB201415543D0 (en) | 2014-10-15 |
| GB2515417B (en) | 2016-05-25 |
| GB2515417A (en) | 2014-12-24 |
| US20150095001A1 (en) | 2015-04-02 |
| NO20141271A1 (no) | 2014-10-24 |
| NO347893B1 (no) | 2024-04-29 |
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