SA516371367B1 - Computer-Implemented Methods for Reservoir Simulation with Automated well Completions and Reservoir Grid Data Quality Assurance - Google Patents

Abstract

Machine, computer readable medium, program code, and computer-implemented methods for performing a reservoir simulation with well completion and reservoir grid data quality assurance, are provided. An exemplary embodiment can include a data quality analyzing machine (130) having memory (135) containing data quality analyzing instructions (151) configured to simulate a reservoir model with automated well completion and reservoir grid data quality assurance. Fig. 1

Description

Computer-Implemented Methods for Reservoir Simulation with Automated well Completions and Reservoir Grid Data Quality Assurance Full Description Background 1 relates to the present invention in general Reservoir simulation” and in particular computer-implemented methods of reservoir simulation by validating the quality of well completion events and reservoir data. During the life cycle of gas and oil production extracted from reservoir fields in geological formations; Certain stages are followed which involve exploration; Estimate: Reservoir Development » Decline 1 for production; and abandoned the tank. and during the life cycle of the reservoir; Huge amounts of data are collected; Jie Data AB records “all data about tank cores; ably produces dus representing unprocessed data. in addition to; during the life of the development of the field»; Several systems are developing targeted studies and understanding methods for different parts of the reservoir. For example, geologists and geophysicists develop structures, geological contours, and reservoir geological models. Petrophysics develops preliminary in situ oil and saturation maps. Reservoir engineers develop field development plans. The integration of unprocessed and unannotated data is done in a slow process of building tank simulation models. Analytical tools do not give meaningful results for complex reservoirs or reservoir fluids. The effect of reservoir rock properties and fluid properties on hydrocrion recovery can be determined using 5 reservoir simulations. Reservoir simulation is a comprehensive framework for optimizing oil and gas field production. Several key questions about an optimized development plan for a particular reservoir can be answered by running simulations after the reservoir has been carefully selected.

to get meaningful results; Reservoir simulation engineers must go through an intense and time-consuming process of manually reviewing large amounts of data that can consist of well records, performance records, and completion events for 50 historical years or more. The inventors realized that it was fundamentally important to perform quality control of the data used to build reservoir simulation models and cross-review them to eliminate inconsistencies and problems during the date matching process. in addition to; The need for a software suite and design of a simulation data quality workflow that will guide engineers through the quality validation process was recognized as the first stage of building a simulation model. General description of the invention in light of the above; The various embodiments of the present invention include systems; Had programs; 0 computer-readable media; Methods provides design kits and code a simulation data quality workflow that guides engineers through the quality validation process as the first process of building a simulation model. Various models of the present invention usefully provide workflows and a software/software product covering critical data needed to build simulation models. Data preparation and validation are built using custom automated workflows that helpfully guide engineers through quality control steps in a seamless manner. According to one or more than 5 models; at every important step; Certain data can be reviewed; and validated against a well-developed quality control (QC) standard. in the event of an inconsistency; The workflow or programming output/program can generate relevant ad or warning messages and recommend possible solutions or remedial actions. Building reservoir simulation models is a difficult and cumbersome task due to the fact that the simulation models are an integral part of all the collected multidisciplinary geological and engineering data. Reservoir simulation engineers must engage in a cumbersome and time-consuming process of manually quality-reviewing huge amounts of data consisting of blistering records, performance records, and completion events for up to 50 historical years or more. The several embodiments of the invention provide a method for quality control of data used in

Build reservoir simulation models and validate data to eliminate any inconsistencies and issues during the historical matching process. A method can have up to nine workflows.

Various embodiments of the invention include a machine configured to simulate a three-dimensional tank model on one or more screens. A machine may include one or more processors and a readable physical medium

by computer. A medium can have a set of instructions stored on it that cause

Jas One or more processors initiate a set of parameters to create reservoir data and transform the reservoir data to simulate a 3D reservoir model on one or more screens. For example (Jaa) models can include a seismic survey module to collect and process data from a seismic survey. The seismic unit can work together as seismic wave generators and seismic wave receivers to collect

0 seismic data and seismic data processing to provide data and information about a reservoir. Seismic wave generators may include explosives; vehicle-mounted weights; Other LY wave generators are popular with those skilled in the art. likewise; Seismic wave generators may include ground speakers; hydrophones; Other LL wave receivers are well known to those skilled in the art. Reservoir data can include the location of peaks ll horizontal grid lines;

5 and ad path positions + models can also include an i dad locus unit for accessing apex location data describing the apex location of a group of haste peaks for a simulation model “ha” and a Si path position unit for accessing atom data wellpath position describing the position of the path fu for a set of well paths. In oz dla the various functions and steps that are described here are performed by a set of dedicated modules.

0 to ensure correct modeling of a set of grid horizon lines; Models can include an automatic grid horizon line validation module. This unit can perform an automatic validation of a gridline horizon position for each of a set of gridlines ol) a set of all vertex positions associated with the corresponding gridline. Automated grid-horizon validation could include comparing the grid-horizon location with the wellhead dadd location for each yi vertex associated with the grid-horizon.

25 To ensure correct modeling of extrusion pathways models can include an automated validation module

blistering course. This unit can automatically perform well path position validation for each of a set of idl paths against the All apex positions of a set of at least two wetter apex positions associated with the corresponding il apex path. in models; Each ji crest site identifies a relevant ud insertion site within a corresponding geological layer; Each group of at least two crest positions defines the wellpath position of the well path of the relevant weir that extends between at least the two crest positions.

well. Automated wellpath position validation could include comparison of Sl path position with wellhead positions for each of the corresponding corresponding set of at least two ll + vertex positions Models could include a reservoir simulation module for data integration (hal ) grid horizon lines; and petrification tracks thus simulating a 3D tank model on one or more of the

0 screens. Various embodiments of the invention include a computer-implemented method for providing quality assurance confirmation of automated well completion events and reservoir grid data for reservoir simulation. As noted, the steps that are detected can be performed by a set of customized modules according to the machine models that are disclosed here. According to the feature of the invention, a representative method includes the following steps: System validation

5 Grid index of grids to be used in reservoir modeling by validating the assignment of a relevant grid cell number to a reference grid Verifying a grid location by comparing this location to a known location of a well Verifying grid horizon lines against wetting peaks to ensure correct grid horizon lines are modeled , check the position of the model's lattice fault lines against the position of the interpreted fault lines to ensure that the relevant lattice fault lines are modeled correctly, identify, highlight, and mark

0 Networks that have problems in terms of cell angle, cell mass size, cell size variation, or alkali cells that have a significant negative effect on simulation convergence and simulation computing time, verifying that the Jill trajectories are correctly positioned by comparing them with corresponding sets of pimple apex positions By determining whether they intersect with their specific perforation events, validate the positioning of the Sa completion events by determining whether they participate in a similar depth region as the Jie perforation events

5 mapped, and by comparing its position to a specific Ji log depth area associated with well log data

J on the corresponding jill completion locus, and check the Jad completion events temporally with the observed unprocessed fluid flow data. According to another characteristic, an analog method (Sa) may include one or more of the steps described below. The steps may include receiving simulated grid cell data for each of a set of

5 grid cells for simulation; and known location of one or more of the OLY group) Automatically validate the Simulated Grid Indicator System” and perform automatic WIA network location validation against the known location of the one or SST of the group of wells. The WIA grid data for simulation includes cell number mappings of a 3D grid. The simulation grid cell data can include a modeled location for each set of simulation grid cells. The automated validation step includes an indicator system

0 simulated grid cells on the 3D grid cell number mapping comparison of the top left simulation grid cell of the model with a reference grid cell number mapping. Automated grid cell site validation could include comparing the modeled position of a simulated grid cell to the known location of one or more wells run for each set of simulated grid cells to ensure proper placement of the grid cells.

5 The steps could include positioning a group of seismic wave generators and a group of seismic wave receivers on an operational headquarters from a reservoir site; generation of one or more seismic waves responding to a group of seismic wave generators; collection of seismic survey data in response to transceiver waves for the seismic wave receiver array; thus processing seismic data to convert seismic data into reservoir data; Reservoir data includes Dall's crest location data

0 on (JH) grid horizon data; ll track position data + data can include a seismic survey unit to collect and process seismic data to provide reservoir data and information. Seismic wave generators can include explosives; vehicle mounted weights; The seismic wave generators are known as skilled in their field. likewise; Seismic receivers may include ground speakers; Hydrophones and other AB receivers, as Al-Mahra is known in

5 field. (Sa) that Jad reservoir data on the location of the tops of the wells 43 grid horizon lines;

Bacterial paths. Models can also include a wellhead location unit for accessing wellhead dadd location data 43 Chal 43 wellhead location for a number of add “headholes” for a simulation model (HA) and a uo path position unit for accessing path position data Bet 61 describing the position of the Jy path for a number of all 61 paths. The steps could also include receiving dad site data for all 61 paths describing the position of the J apex for each

from a group of welltops for a reservoir simulation model” and an automatic validation of the location of a grid horizonline for each of a group of grid horizonlines against the welltop location of one or more: from a group of welltops associated with the corresponding horizonline. The welltop location is determined for one or more of the corresponding jl peaks the depth of a geological layer corresponding to the corresponding grid horizon. Automated verification may include:

0 Correctness of grid horizon locations Comparison of grid horizon location to sputter crest location for each Ji peak One or more relevant mappings for each of the grid horizon lines to ensure correct modeling of a set of grid horizons; And specify and ual or mark cle each of the group of il peaks that have a corresponding iy peak position that is separated from the corresponding lattice horizon position by more than a predetermined allowable value.

(Sa 5) that the Lad or alternatively steps include accessing modeled grating fault line data and interpreted grating fault line data for each of one or more grating fault lines; and performing a JT validation of the modeled grating fault line positioning The modeled fault line data describe the position of the modeled fault line for each set of lattice faults and the interpreted fault line data describing

0 The position of the lattice fault lines explained for each group of lattice faults. Automated validation of the position of the modeled fault lines can include comparing the position of the modeled fault lines with the position of the interpreted fault lines for each group of network faults to determine whether the modeled network fault line intersects the corresponding interpreted network fault line to ensure the modeling of a group Network cracks properly.

The steps may also include, or alternatively, the reception of simulation grid cell data for each of a group of simulation grid cells; f Automatically select and mark each group of grid cells for simulation that have cell attributes outside the allowable value of cle for example; WDA cell mass angle (WDA) and/or alkali cells have a significant negative impact on simulation computation time and simulation convergence. Alternatively, dass steps can be performed on receiving trajectory position data. i describes the position of a well path for each of the ll paths and an automated validation of the track position A of each well path group against the blistering apex locations of a group of at least two of the group of fll apex sites associated with the path Corresponding ll. Each sill dad locates entry 0 of a relevant sill from the SLY set) within a corresponding geostratum. Combinations from at least two sill aed loci specify the sill path position of the sill path ll Extended Related Lagi Automated stream path position validation can include comparison of the stream path position with the peak locations of the stream for each of the corresponding set of relevant sets of at least two id vertex locations) for each of the All path set to ensure correct determination Location of track group (Al) ¢ and identify each of the 5 track group jl) that have a corresponding well track position that is separated from a track that extends through at least two of the corresponding ll apex locations Rin by more than a predetermined allowable value. The steps may also include, or alternatively, the reception of all path position data and retinal hole position data describing a retinal hole location for each of a set of retinal hole events; f Performs an automated validation of the position of the il path of each of the set of Jil routes against the 0-punch-location of one or more relevant punch-events of the set of punch-events. Each grating perforation event can locate a relevant hn of J of the well set. This automated validation of the position of the All path could include comparing the position of the Sal path to the grid perforation location of a relevant perforation event from the set of perforation events for each set of blister paths—to ensure that the corresponding set of blister paths is located correctly; and identify each of the 5 set jl paths) that do not intersect with their corresponding corresponding lattice-punching event.

Lad or alternatively steps can include receiving a spit completion site data describing the spit completion site for each batch completion event set for each LY batch and production performance logging lal data containing production area information for each batch LY) and shal J validate the location of the blister completion event for each completion event set of al against the production logger data; All completion location data that defines one or more regions for each of a group

Blistering completion events. The production logging tool data can include saturation information for each group of executive well measurements depth zones for each group of wells. An automated validation step can include a comparison of the one or SST from well completion event regions to one or ST from wells

0 in Well Measurement Depth Zones for the corresponding well that has a saturation level indicative of a Production Flow Zone” is performed for each of the wellset to ensure that the wetting completion site for each of the wellset executes the relevant production logging tool data. The steps may also or alternatively include receiving the observed liquid flow rate data and opening and closing Jul data for production for the LY set and performing an automated validation

5 set of Lie well completion events) against lily observed fluid flow rate. The observed fluid flow rate data includes fluid flow rate measurements for each of a set of time periods for each of the well set. An automated temporal validation step of the completion event set al) could involve comparing the opening and closing times of each production well set with the fluid flow rate measurements taken between the corresponding production open and close times ll for each of the well set

0 to ensure that the broadcast completion events are set correctly. Various embodiments of the invention include program code for programming one or more processors to perform operations to provide quality assurance of automated well completion events and simulated reservoir network data (ha) which is stored on a non-temporary computer readable medium. An analog program code includes a set of instructions; which when executed by one or more processors; pushes one or more of the

5 wizards to perform any or all of the steps described above.

Various embodiments of the invention comprise computer-readable non-sequential media or media to provide quality assurance of automated well completion events and reservoir grid data for reservoir simulation. A non-analog computer-readable medium embodies processor-readable code that includes a set of instructions; which, when executed by one or more processors, causes one or more processors to perform operations that perform any or all of the steps described above.

Various embodiments of the invention include a dll to provide quality assurance of automated seeding completion events and reservoir network data for reservoir simulation. An analog machine may include a data quality analysis computer that includes one or more processors and a memory connected to one or more processors; A data quality analysis program codes into the memory of a data quality analysis computer to guide users through the quality assurance process.

0 The program code includes instructions that when executed by one or more processors prompt one or more processors to perform operations that perform any or all of the steps described above. Usefully, a machine can include a server. Usefully; One or more embodiments of the invention provide systems; program code and methods/workflows that eliminate cumbersome, informal manual effort and provide high-quality simulation models

5" Verified and re-validated through formal and automated workflows. Beneficially, methods and new workflow/program code can reduce validation from months to several days. Pre-validation of data according to systems, program code, and workflow/methods can Significantly reduce the total time to perform a historical match Workflow steps/methods can usefully allow simulation engineers to easily validate the formation data and complete the well.

0. It is useful for systems, program code, and workflows/methods to help improve quality; activate best practices; Reducing the processing time needed to build and conduct tank simulation studies. The invention models can allow reservoir engineers to highlight inconsistencies in reservoir network data (Ad Js) that come from different sources.

— 1 1 — using workflows/reservoir data methods and automated well completion events; Reservoir engineers can easily validate the simulation data which JIE can usefully reduce the time needed to match data dates and will result in a more accurate representative model of the reservoir” which leads to a better estimate of gas/oil production. This tool or tools can usefully reduce the time required for quality control of simulation data from months to days.

One or more models provide simulation engineers with quality assurance steps that orchestrate workflows (Jee) Software automates network-related workflows and jill ¢ completion events Highlights inconsistencies in all simulation model data and issues a warning message and appropriate error-resolution procedures relevant; and/or enable best practices to simulate a tank on Gob Prevent the user from jumping to a stage

0 without successfully completing the current quality control step but by providing the user with flexibility to activate the next quality control step by providing an underlying technical and operational justification. A brief explanation of the drawings to achieve a better understanding of the characteristics of the hag of the invention and others as will be shown. A more specific description of the invention that was disclosed die can be found briefly above by referring to die forms

5 illustrated in the accompanying drawings that form part of this description. however; It should be noted that the drawings show only different embodiments of the invention and should not therefore be considered as limiting the scope of the invention as they may include other effective embodiments as well. Figure 1 is a framework flowchart showing a high-level flowchart of a process/instrument to ensure the quality of the procedure for completing a piece and reservoir network data for a reservoir simulation according to an embodiment of the present invention;

0 Figure 2 is a diagram of a grid cell rendered by an analog device shown to illustrate verification Figure 3 is a diagram of grid horizon lines aligned with a set of vertices ll to illustrate verification

— 2 1 — Figures 4a-4c Ble for a set of diagrams showing interpreted fault lines superimposed with the corresponding lattice faults shown to illustrate the validation of the position of the lattice 2 fault according to the z-model of the present invention; FIG. 5 is a schematic representation of a reservoir grid cell sheet incorporating alkali grid cells to illustrate the identification of cells with issues of angle, size, contrast, or inverse position d J gail Lad of the present invention; Fig. 6 is a schematic of the burrow paths aligning with a group of well tops to illustrate the validation of the slash path position z J gail lad of the present invention ¢ FIGURE 7 is a schematic of the burr path substantially aligning a grid mapped with a perforating event 0 according to an embodiment of the present invention ; Figure 8 is a schematic showing that a blister completion event is correctly located by checking whether or not they share the same depth zone according to an embodiment of the present invention; Figure 9 is a schematic showing that the location of a well completion event is significantly correctly determined by comparing its location to a specific BIT log depth area associated with the BIT log data according to embodiment 5 of the present invention; Fig. 110 is a schematic showing the observed fluid flow rates for a well according to an embodiment of the present invention; Fig. 10 is a schematic of a concurrent perforation well with a projection of an appreciable positive liquid flow rate of a squirt associated with Fig. 110 according to an embodiment of the present invention; 0 FIG. 10c is a cemented id diagram with the expectation of not observing the flow rate of the sill associated with Fig. 10 according to an embodiment of the present invention;

— 3 1 — Fig. 11 is a schematic showing a device for quality assurance of well completion procedure and reservoir network data according to the z-model of the invention; and Fig. 12 is a schematic showing the LI wave generator) and seismic wave receivers according to an embodiment of the invention. Detailed description:

The present invention will be described further below with reference to the accompanying drawings; Where the models of the invention are shown. However, this invention may be combined in several different forms and should not be construed as being limited to the embodiments described herein. Instead of that; These forms are submitted so that this disclosure is comprehensive and complete and fully conveys the extent of the invention to those skilled in the field. Similar numbers indicate

0 to similar items throughout the whole description. The main signs indicate; if used; on similar elements in alternative models. Reservoir simulation is a structure for optimizing oil and gas field production. The influence of reservoir rock and fluid properties on oil recovery can be understood using reservoir simulation. No analytical tools have been developed to produce meaningful results for complex reservoirs or reservoir fluids.

5 by contrast; Several key questions about the optimal development scheme for a particular reservoir can be answered by simulated procedures after carefully determining the characteristics of the reservoir. Building reservoir simulation models can be a difficult and cumbersome task due to the fact that the simulation models are sia not Ban from all the collected multidisciplinary geological and engineering data. Traditionally, tank simulation engineers must work through a time-consuming and cumbersome process in order to validate

Quality of large amounts of data including wells, well records, and completion events over 0 years or more. It is essential that the data used to build reservoir simulation models must be quality controlled and reviewed to eliminate inconsistencies and issues during the date matching process. Various embodiments of the invention usefully comprise apparatus/systems for designing a simulation data quality workflow, a software program, and workflows/methods that guide engineers through the quality verification process.

— 4 1 — as the first stage of building a simulation model. according to different models; The designed workflow/software covers some of the data needed to build z simulations. ad Different z models Data validation preparation and validation are performed using custom automated workflows that guide engineers through QC steps in a seamless manner. Specific data can be reviewed and validated at each critical step; Based on advanced quality control standards. in the event of an inconsistency; The workflow or programming output/program can generate relevant Usd or warning messages and recommend possible solutions or remedial actions. systems can; program code methods/workflows that eliminate cumbersome manual informal effort and can usefully lead to high-quality simulations that are validated and re-reviewed through formal and automated workflows; reducing from 0 months to a few days; and through improved prior review of data; Maa can reduce the time required to perform the historical data matching process. z different versions of the invention provide systems, program code3, and workflows/methods 0 A representative workflow process includes nine major quality control steps that allow simulation engineers to easily verify network data and complete ad) including but not limited to position // direction of the grid; origin 5 grid; alkaline cells; grid horizon lines; id paths, completion events” and fault position/orientation. Steps could include positioning a group of 10 seismic wave generators and a group of 16 seismic wave receivers in operational proximity to the OBA site Generating one or more seismic waveforms for a group of seismic waveforms; collecting seismic survey data for the 30 waveforms ( 32 for seismic wave receiver group 16; seismic survey data is therefore processed to convert seismic data into reservoir data; reservoir data includes at least id crest location data; Sus horizon line data well track position data. Figure 1 provides a schematic Flow showing representative steps of a representative QA process/tool for a well completion procedure and reservoir grid data for a reservoir simulation Alle Graal (Graal) steps can include 5 Validation of a grid index system for grids (Box 21) Validation of grid locations

(Box 22); validation of grid horizon lines (Box 23); validation of the position/orientation of a lattice crack (Box 24); identifying and marking problematic networks (Box 25); validation that the blister pathways are correctly positioned (modules 26 and 27); Validate that blet completion events are correctly localized (Modules 28 and 29); and validate al 5 completion events (frame 30). Note that although the steps are presented in a specific order; Those with normal skills in the field will also realize; There is no need to perform all the steps in pal-representational order as those of average skill in the art will understand. Referring to Figure 2 according to the representative model” in the mentioned step (Box 21; Figure 1); The tool will validate the grid index system for the 31 grid cells used in the modeling of an auto-tank 0 for example » by validating that the grid cell number is correctly assigned to a reference grid cell (eg validating if the top left cell is mapped to (1; 1 1) or not. The process/tool will then validate the location of the retinal cell (Box 22); For example by importing a lily at a known burr site and comparing the reticulocyte site to the wart site. Referring to Figure 3; The process/tool additionally or alternatively can check the location of grid horizon lines 41 vis-a-vis add warts 43; (WT) to ensure correct modeling of the grid horizons (Box 23; Fig. 1). ull add 43 will mark the depth of the upper bound of the geological layer. All vertices of ll 43 must intersect grid horizon lines 41. Depending on the representative configuration, the tool can allow simulation engineers to choose (as preselect) a boundary distance value to specify criteria for whether ll vertices are considered to intersect or fail to intersect with the corresponding grid horizon lines 41 0. As such, it is possible to The tool can be useful in providing statistical results for several peaks of Ad 43 that have a distance greater than the cut-off value set for each horizon 41. In addition; The instrument can display all vertices (il) 43 that do not intersect the grid horizon lines 41 in 3D. Referring to Figures 4a-4c; The process/tool can additionally or alternatively check 5 the correctness of the position//orientation of a lattice fault against the position/direction of the interpreted fault lines 51

(Box 24; Fig. 1) to ensure that the 53 lattice faults have been correctly modeled. All network faults 53 must intersect with the imported interpreted faults 51. According to the representative configuration; The tool can allow simulation engineers to choose (eg preselect) a boundary distance value to criterion whether the position//orientation of the lattice fault matches that of the interpreted fault lines 51. The tool can also provide statistical results on how many grid fault lines 53 have a distance greater than the specified threshold distance value between them and the imported interpreted fault lines 51. In addition; The tool can display all grid faults 53 that do not intersect the imported faults 51 in 3D. The process/tool can also or alternatively identify and highlight problematic networks in terms of 0 cell angle, cell mass size, cell size variance, and/or WIA alkalinity (cells inside out); which significantly negatively affect simulation computation time and/or simulation convergence (Box 25; Figure 1). As shown in Figure 5; For example; Depending on the representational configuration, the WIA tool will present 3D problems based on boundary values that are selected (eg pre-selected) for each of the variables shown above by the simulation engineers based on the desired level 5 of acceptable negative impact at computation time and /or convergence simulation; Those of ordinary skill in the field also understand. Referring to Figure 6; The process/tool can also or alternatively validate the position of jill tracks 61 by comparing them to the positions of the corresponding jill peaks 43; For example; Typically three to ensure alignment (Box 26; Figure 1). According to the ofall configuration the paths of 0 blister 61 must intersect each of the blister apex locations 43 within specified tolerance af (such as predetermined) or other criteria as understood by those of ordinary skill in the art. Tolerance values can be based on a boundary distance value provided by the simulation engineer. The tool can also provide statistical results showing the number of oozing pathways 61 that have a distance from a relevant ji-peak location 43 more than a predetermined threshold value. in addition to; According to the representative configuration; Any of the problematic Jill 5 61 routes can be displayed; Such as those that exceed predetermined tolerance values in 3D.

Referring to Fig. 7 the process/tool can additionally or alternatively validate the positioning of Lh trajectories 61 by checking that they intersect with the location of networks that are mapped 71 as perforation events (Box 27; Fig. 1). According to the representative configuration» 1 blister paths should intersect. In addition; The tool can display all 61 paths that do not intersect the 71 networks that have 3D perforation events in an appropriate manner. Referring to Figure 8; The process/tool can additionally or alternatively validate the puncture completion events 81 by validating the I share the same depth region Jie perforation events that are mapped 71 (Box 28; Figure 1). in addition to; according to the representative model; The tool can display all Jas events 81 that do not intersect with related perforation events 0 11. Referring to Fig. 9; The process/tool can additionally or alternatively validate the location of jill completion events 81 by comparing their location to a specific well log depth area 91 associated with jill log data 93 (shown schematically in Figure 9) indicative of jill completion 81 (box 9. Figure 1). in the form of Wg carne for representational composition; The tool can check whether the Blister Completion Events 81 are correctly located by comparing the well logs to the Production Logging Tool PLT Jil Completion Events 81 must perform an OL PLT depth zone in the specified ad tolerance range (such as predetermined) or other criteria as understood by those of ordinary skill in the art. (Sa) The tolerance values are based on the rae depth of a range of depth values; or a 91 depth zone provided by a simulation engineer. The tool can also list or display all wells with 0 problems, to include those with off-limits locations With reference to Figures 10-110 the process/tool can additionally or alternatively validate the completion of ill 81 events in time with data noted 101; Jie liquid flow rate data (Box 30; Figure 1). For a representative configuration, the instrument can first check the opening and closing of wells 3 for production ol) Measuring observed data 101. The instrument can output messages with a corresponding name of 5 thd streams as flow wells without an open flow section; Complementary wells without flow rate

There is no correspondence between expected and observed conditions. Figure 110 provides a chart showing a liquid flow rate per quarter. J will be predicted perforated; For example ad 103 shown in Figure 210” has an open flow section 105 to have a positive liquid flow rate. If it does not indicate any flow, this is considered a mismatch. Figure 10c shows a closed stroma 103' without an open flow section; like; Cemented in section 107. A positive flow rate will be specified as false. Figure 11 illustrates 130 devices to provide quality assurance of automated well completion events and reservoir network data for a wellhead reservoir simulation. System 130 may include a Data Quality Analyzer 131 having a 5.50¢ 133 processor 135 associated with processor 133 to store program records and a database thereof; a user interface 7 that can include a schematic screen 139 to display schematic images; and user input method 0 141 defined to those skilled in the art; To provide user access to manipulate program logs and databases. Note that machine 131 can be in the form of a personal computer, in the form of a server, or multiple servers serving multiple user interfaces 137. So according to an embodiment of the invention, machine 131 may include a server. Accordingly; The 137 UI can be connected directly to the 131 machine or through the 138 network as it is known to those skilled in the art. For example, interface 5 User 137 could be the user interface of a remote computing device connected to machine 131 via the Internet; or a local area network or other appropriate network 138 known to those skilled in the art. The machine 130 may also have one or more tables and/or databases 3 stored in memory (internal or external) that are operationally coupled to the data quality analysis machine 131; It will also understand skilled in the field. One or more databases 0 143 can contain simulation networks 31; Which may be available at the start of the study for use in validating the network indicator system and the network location and allowing the simulation network to be distinguished 31. One or more of the databases 143 may also include the location of full peaks for use in validating the network horizon lines 41 against all peaks 43. One or more databases 143 may also include grating fault data and interpreted fault data for use in validating 5 the position/orientation of grating fault lines 53 against the position/direction of interpreted grating faults 51.

That one or more of the databases also 143 contain data related to the position of the jill tracks for use in validating the positioning of the jill tracks. One or more databases may also contain 143 punch data, ll completion events for use in validating the positioning of jal paths 61, and yall completion events 81. One or more databases may also contain 143 data PLT idl 93 production logging tool for use in

Blister completion events are correctly positioned. One or more of the databases 143 may also include observed liquid flow rate data 101 for use in validating ju completion events 81. The instrument 130 may also include a data quality analysis program 151 stored in memory 135

0 for the Data Quality Analysis Machine 131 and includes instructions when performing with the Data Quality Analysis Machine 131 Testing the Machine 131 Quality control and cross-review steps on completion of all and reservoir data used to build reservoir simulation models to eliminate inconsistencies and problems during the historical matching process. Note that the data quality analysis program 151 can be in the form of a small code; programs; routines; Symbolic languages provide a specific set or groups of operations

5 the organization that controls the function of the hardware and directs its operations; As it is known and understood by the skilled in the field. Note also that the data quality analysis program 151 according to one or more embodiments of the present invention needs to be fully destabilized into its volatile memory but must be loaded selectively as necessary according to various methods known and understood by those skilled in the art. As shown in detail, the various models are coded ADU 131 (program code 151) and hel methods.

0 provides a significant improvement to an existing technology. For example (JU) one or more models can prompt machine 1 to perform operations: validate a grid pointer system for grids used in reservoir modeling by validating the assignment of a grid cell number to the reference grid; validating the location of the network by comparing its physical location to a known location of a well; the validation of grid horizon lines against the well tops marking the depth of the upper bound of the geological layer; to ensure crack modeling

5 network properly. The lattice fault boundaries should intersect the interpreted fault lines.

The processes further include identifying and characterizing networks with problems with cell angles, cell mass size, cell size variance, or alkaline cells that have a significant negative impact on simulation computation time and simulation convergence; checking that the i) tracks are positioned correctly by comparing them to the corresponding ll dad locations (eg three locations typically); Verify that the ill paths are correct and positioned correctly by validating the intersection with an event location

designated perforations; Verify that Jl completion events are positioned correctly by validating that they share the same depth region as the given perforation events; Validate that the spit completion events are correctly positioned by comparing their location to a specific well log depth area associated with the all log data indicative of cut completion; and/or check for Al completion events temporally with stream data

0 untreated liquid observable. Those experienced in the field will understand that the various functions described can be implemented by custom modules. For example; Examples include a machine 131 with one or more processors 3 and a computer-readable physical medium 135; Where Machine 131 is configured to communicate with one or more Sigal Remote Computing operationally communicating with one or more of Monitors 139; and where

5 The computer-readable physical medium 135 carries a set of instructions that when executed by one or more processors 133 one or more processors 133 starts a set of modules and thus creates tank data and converts tank data to simulate a three-dimensional tank model on one or more screens 139 The group of units may include a seismic unit responding to one or more seismic generators 10 and one or more seismic wave receivers

0 16 and configured to process seismic survey data. One or more of the 10 seismic wave generators may be deployed in operational proximity to a known or probable reservoir location and generate IBY waves as shown in Figure 12 according to an embodiment of the invention. Seismic wave generators10 can include explosives; vehicle mounted loads; or wave generators (aT LI) as they are known to those skilled in the art. Models can also be based on natural seismic events to generate seismic waves.

5 in addition; One or more of the 16 seismic wave receivers can be deployed in close proximity

operationally from a known or potential reservoir site and collecting seismic survey data in aly waveform); receiver 30 32. Representative 16 seismic wave receivers include ground speakers and hydrophones; Although an expert in the field will understand that other seismic wave receivers can be used. Received seismic waves 30 32 are typically reflected or refracted waves generated by seismic wave generators 10. The seismic unit can be configured to process seismic data and thus convert seismic data into reservoir-related reservoir data. Reservoir data can include lily wellhead location; lily grid flowline; and blister track position data. The set of modules can also include a reservoir data-responsive dad-spill location module configured to access ji-peak position data describing the location of the i-peak 43 of each of a set of 0-sputter peaks to simulate a reservoir model. in addition to; A set of modules can include a reservoir data responsive wellpath position module configured to access Sa track position data that describes a wellpath position for each of a set of 61 blister paths. Usefully; The unit group can include an automated grid horizon validation responsive seismic unit and a peak | il and are configured to perform an automatic validation of the position of the 5 grid horizon line 41 of each group of grid horizon lines vis-a-vis the ll vertex position 43 of one or more of the welltop group associated with the corresponding grid horizon 41; the position of the ill vertex 43 of one or more of the corresponding corresponding well vertices 43 that defines the depth of a geological layer corresponding to the corresponding grid line 41; Automated validation of gridline 41 location for each of the gridline horizons comprising comparison of gridline horizon 41 location to the location of il peak 43 for each J 0 vertex one corresponding corresponding or SST for each of the gridline horizons To ensure correct modeling of a set of grid horizon lines. It is advantageous that the suite of modules can include a seismic-responsive automated seed path validation module; Jill apex location unit, ull path position unit, configured with shay JT validates the il path position for each of the set of pimple routes 61 against the apex locations of pimple 5 43 for a group of at least two of the set of apex locations fl 43 associated with path ll

Opinions 61. On models; Each J apex site 43 can locate a relevant J entry for a group of wells within the Bll geological dish and each group of at least two jal 43 apex sites can locate an ill path For the blister path 61 of the related well extending between them. Automated wellpath position validation for each of the ll path group can include comparison of the wellpath position with the fll apex locations 43 of each of the relevant corresponding group of at least two wellhead locations 43 of each of the blister track group 61 thus ensuring Correct positioning of the batch paths of blisters 61. The resulting simulation can be performed by a tank simulator. The tank simulator module can be responsive to the tank data; automatic grid horizon validation module; an automated validation module 0 of daa broadcast path configured for integration with hal data and grid horizons 41; and trajectories of all 1 and thus simulating a 3D tank model on one or more screens 139. In models; The automated investigation unit can also be configured from the validity of the grid horizon lines to identify and distinguish each of the set of sputter peaks that have a corresponding dad site 43 that is separated from the grating line 41 site that corresponds to it by more than one predetermined allowed vertex ( Sarg also configures the automated wellpath validation module to identify and mark each of the Jill path group 61 that has a corresponding wellpath position that is separated from a path that extends through at least two of the corresponding ll 43 vertex locations by a value greater than the value of Allowed Pre-Determined It is useful that reservoir data can include reticular punch location data describing a reticular punch location for each of the set of 71 reticular punch events. Reservoir simulation and configured to automatically validate the path position (Jl) of each of the ill path group 61 against the grid-punching location of one or more related grid-punching events 71 for grid-punch event group 1. Each grid-punching event 71 can specify Location of part of Ji Relevant to well set Automatic track position validation ill for each of the 61 all path set 5 can include a comparison of the position of the ll path to the network punching location of a related one from the set of punching events

1 for each of the path group id) 61 thus ensuring that the Dill path group is positioned correctly. Sa (Sa) also configures the grid punch module to identify and tag each of the set of Jill paths 1 that do not intersect with a corresponding grid punch event 71 associated with it. In the Se (Se) models, the reservoir data also includes grid punch location data describing Grid-punch location for each set of grid-punch events 71 for each well set and cal ill completion event data The ill completion event 81 for each set of al completion events for each well set and production logging tool data describing production area information for each In addition, the group of modules can also include a reservoir data responsive Ji completion event module and a reservoir simulation module configured to automatically validate the site validation of event 0 completion ull 81 for each of the broadcast completion event module v site Grid punching of at least one related grid punching event for the grid punching event set 71 and the Sill completion event data containing a relevant depth region selection corresponding to each of the Broadcast completion event set. Automatic completion event location validation (al) For each of the set completion events (al) can include an 81-bit completion event depth region comparison Ad with dla corresponding to well group depth 5 zone The relevant grid perforation event 71 ll corresponding to each of the sill completion event groups thus ensuring that all 81 ll completion events are correctly positioned. Furthermore it; The Broadcast Completion Event module can be configured to identify and tag each set of Broadcast Completion events that do not intersect with the corresponding network perforation event 71 associated with it. in models; Reservoir data Lad can include well completion event location data describing the location of 0 completion event 81 for each of the ill completion event set for each GLY set and production logging tool data describing the production area information for each set wells. in machine models 131; The pool of units can include a reservoir data-responsive well completion event module and a reservoir simulator module configured to automatically validate the well completion event location of each ill completion event pool against the production logging tool data. The yall completion location data can specify one of 5 or more regions for both the petrification completion event set and the production logger data can

It contains information about saturation for each of the group of depth zones of the operational well measurements for each group of wells. Automated validation of the location of the sputter completion event for each of the yall completion events can include comparison of one or more regions of the 81 ll completion event of one LY) with regions of the corresponding ill well log depth that has a saturation level Indicates a production flow zone performed for each well group Jilly Ensures that the ll completion site for each well group executes the relevant production logging tool data. in models; Reservoir data can include observed liquid flow rate data describing the liquid flow rate measurements for each set of time periods for each well set, and strep open and close data describing the times for each set of wells to open and close for production. in aN 131 models; The pool of units may also include a reservoir data-responsive land completion event module and a reservoir simulation module configured to perform an automated, timed validation of a well completion event pool against observed fluid flow raw data. The step of the automated temporal validation of the 81-seam completion event set could include comparing the opening and closing times of each of the production wellset with liquid flow rate measurements taken between the corresponding opening and closing times of the corresponding production piece for each of the wellset 5 thus ensuring the correct assignment of the squishing completion events 81 correctly. In oz ila the reservoir data can include modeled faultline data describing the positioning of the modeled faultline for each fault line group; and the interpreted grating fault line data describing the position of the interpreted grating fault lines for each group of lattice faults. In machine models (131) the unit group includes a reservoir data responsive 0 fault line positioning module and a reservoir simulation module which are configured to automatically validate the modeled fault grid position against the interpreted fault grid position. The automatic fault line position validation step can include The modeler compares the position of the modeled grating fault lines with the position of the interpreted fault lines for each of the lattice fault lines to determine whether the corresponding modeled lattice fault line 53 intersects the corresponding interpreter fault line 5 and thus ensure that the lattice fault set is modeled correctly.

Lattice fault line positioning unit to identify and characterize each of the group of lattice faults having a corresponding lattice fault line positioning that is separated from the interpreted fault line lattice positioning by a value greater than a predetermined allowable value. in forms; Reservoir data can include simulation grid cell data describing mappings

3D grid cell numbers for each of a group of WIA simulated grids. in machine models 131; The group of modules may also include a reservoir data-responsive grid cell recognition module and a reservoir simulation module configured to automatically identify and distinguish each of the simulation grid cell group that have cell attributes that do not correspond to the allowable value that negatively affects simulation computation time and convergence. For example “JB” can automatically identify and tag a WIA network

0 Simulations that have cell attributes that do not match the allowable value that negatively affect the computation time and convergence of the simulation by more than a certain percentage. Cell attributes can include a combination of the following: Angle UDMA Block Size (WIA) Size Variation (WIA) and WIA Alkaline. On machine models 131, a group of modules can include a responsive grid cell location module For tank data and a tank simulator configured to perform an automated cell location check

5 grid against the known location of one or more well groups. Simulation grid cell data can include a modeled location for each of the simulation grid WIA group; Automated validation of grid cell locations includes comparison of the modeled grid cell location for simulation to the known location of one or more set of wells performed for each set of simulated grid cells to ensure proper LIA grid placement.

0 in dla Reservoir data can also include WIA data Simulated grid WDA number assignments describe a 3D grid for each of a group of simulated grid cells. in models of the machine 131; A combination of modules can include a simulated grid indicator module that responds to tank data and a tank simulation module that is configured to perform automated validation of the simulated grid indicator system. An automated validation step for a simulated grid pointer system can include a cell number mapping comparison

5 3D grid of a simulated grid cell top left of the model with a reference grid cell mapping number.

in addition to; It is important to note that while prior embodiments of the present invention have been described in the context of a functional system and process (ALIS) it will be appreciated by those skilled in the art that at least the parts-mechanism and/or features of the present invention are capable of being distributed in a medium og jie by a computer in a different combination of images that store a set of instructions for execution on a processor, processors, or the like, and that a variety of embodiments of the present invention apply equally regardless of the particular type of medium used to actually perform the distribution.Examples of computer-readable media include, but are not limited to: hard-coded non-volatile media such as read-only memory (ROM) media “CD-ROM; DVD” or electrically programmable read-only memory (EEPROM) recordable-type media such as floppy disks; hard disks; 0 CD reading and writing DVD discs DVD reading and writing discs ald -10! (DVD) memory cards pia laser discs Blu-ray discs flash discs and gal types recent memory; and certain types of transport media; Jie; analog and digital communications links ray is able to store the set of instructions; Except for those that are currently considered a legal subject matter, a publication reference itself. Such circles can include; For example, on both operating instructions 5 and process instructions associated with program code 151 and computer executable portions of method steps according to different models of quality control methods and cross-control steps on blister and reservoir completion data used to build reservoir simulation models, among others described above. The present application relates to a non-provisional application based in precedence over U.S. Provisional Application No. 1 [61/921,943] filed on December 30, 2013, titled “Automated.”

Well Completions and Reservoir Grid Data Quality Assurance Methods 0 921.966/61 and Provisional Application No. “For Reservoir Simulation,” “Automated Well filed December 30, 2013 [61/921,966]

Completions And Reservoir Grid Data Quality Assurance Apparatus And Which Are Filed In The Same “Computer Readable Medium For Reservoir Simulation” Their contents are incorporated here in full as reference. ang today;‎ 25

— 7 2 — in the drawings and descriptions; A typical preferred embodiment of the invention has been disclosed; Although certain terms were used; they have been used for description only and are not to be construed as a limitation of the invention. The invention has been described in some detail with specific reference to these embodiments shown. However, it will become clear that the invention accommodates various modifications and changes, all of which fall within the scope and content of the invention, according to what is shown in the previous description.

Claims (12)

Claims 1- A method for generating reservoir data and simulating a reservoir model with quality control and cross-review of the data had) The method includes the following steps: physical placement of a group of seismic wave generators at a surface site on operationally located from a reservoir site; The seismic wave generator set is shige to generate CD waves) the physical location of the seismic Clase receiver group in the hole J on an operational die from the reservoir position” and the seismic wave receiver group is shige to collect seismic survey data in seismic wave image; generation; by seismic wave generators; one or ST of seismic waves; and 0 a computer that performs the following operations: collect; via seismic wave receivers; seismic survey data in response to waves received by seismic wave receivers; lily processes the seismic survey and subsequently converts the seismic data into reservoir data; Reservoir data includes at least the jill top position data including the add position of a well for each one of the “ill” group of tops; fi path location data including the i path location for each stream path of the ll path set ¢ access to idl apex position data grid horizon data; well path location data; Procedure; For each grid horizon of the group of grid horizon lines; automatic validation 0 grid horizon position of grid horizon vis idl vertex position of one or more set of jal peaks labial lattice horizon position of wart crest of each one or more corresponding jul peaks that Specifies the depth of a geological layer corresponding to the grid horizon; The step of automated validating the gridline horizon position of the gridline horizon includes comparing the gridline horizon position to the position of the (A) vertex of each one or SST of the relevant sputter peaks to determine if one or more of the well add group 5 relative to the lattice horizon has a position not within a first boundary distance of the position of the lattice horizon; provide indication of non-grid line of sight intersecting with add blisters; Procedure; For each of the set “ll paths an automatic validation of the position of the D path) of the ll path against the idl vertex positions of at least two of the set of all vertex positions associated with the Gl path) identifies each Be'thar summit site Jl inlet site related to a group of wells within a corresponding geological layer; The automated validation step of the blister path location of the blister path involves comparing the blister path location with the blister apex locations for each i Ad locus from a set of two on the JV from the set of ll apex positions of the ll path to determine whether the blister path location is ll separated from a path extending between the vertex positions of the ull of a set of two on the JV of the set of wart vertex positions by at least the second boundary distance; 0 Identification of invalid paths (al) comprising one or more of the set of well paths having a track location J separated from the path extending between the wellhead positions by a set of at least two of the set of wellhead positions related to the well path by distance at least the second limitation; provide an indication of invalid Hull paths; 5 Producing a 3D model of the reservoir by integrating (IAN) data, the grid horizon line set and the well path set; displaying the 3D reservoir model to simulate blister; and producing hydrochloric materials from the reservoir based on the 3D reservoir model. 0 2. Computer-implemented method In accordance with claim 1 where the step of providing an indication of the non-grid horizon line intersecting the bore tops includes providing a display visually illustrating the non-grid horizon line intersecting the bore tops. 3. computer-implemented method in accordance with claim 1; Where the step of making an indication of incorrect Dal 5 pathways involves providing a display that visually demonstrates the incorrect blister pathways. 4. The method according to claim 1; It also includes the following steps: receiving the Al path position data and the grid perforation alge data describing the grid perforation position for each of a set of grid perforation events; f performs an automated validation of the position of the J-track of each set of perforation pathways against the grid-punching site of one or more grid-punching events relevant to the set of grid-punching events; Each grid perforation event identifies an oda site from a relevant ooze of the well set; The automated step of validating the position of the A-path for each set of Dill paths involves comparing the position of the A-path with the grid perforation site of a related work from the set of punch-events for each of the Dill path-set to determine if there is an intersection between the location of Blister path and retinal perforation position for one of the relevant 0 retinal perforation events for each one of the Jul path group) to ensure correct positioning of the blister path group. 5. The method in accordance with Claim 4; Whereas AY) validating the position of the A path for each of the de gana ill paths also includes the following step: 5 Identification of each of the group of ll paths that do not intersect with the associated corresponding lattice punch work with it. 6. The method according to claim 1; The load includes the following steps: receiving retinal perforation site data describing a retinal perforation site for each of the set of 0 retinal hole events for each of the OLY group and blister completion work data describing the Ji completion job site for each of de gana from Blistering completion work for each well set; and perform J validation of the wellhead completion worksite for each well completion workgroup against the reticulated perforation site for at least one related reticulated perforation event for a set of reticulum events; The retinal hole site data contains a relevant depth region selection corresponding to each of the 5 retinal hole event clusters; The jill completion work data contains a depth region definition of dla corresponding to each of the ll completion work group Automatic event location validation includes The completion of the well for each of the well group completion work on a comparison of the depth area of the corresponding jd completion event of the well group with the depth area of the corresponding well grid perforation event of each of the completion work group to determine whether there is an intersection between the depth area of the work Corresponding ll Ad) completion from the well set and depth area of the all 5 grating-perforation event Corresponding corresponding to each one from the ull completion set of events to ensure correct positioning of the blister completion events. 7. The method in accordance with claim 6; Whereas, automated validation of the location of the al completion work for each of the well completion work set Load includes the following step: 0 Locate and tag each of the al completion work that does not intersect with its associated corresponding perforation mesh work. 8. The method according to item 1; The Lad includes the following steps: access to the Baster Completion Site data describing the BIG completion site for each of the Sal 5 completion workgroups for each well group” and the Production Scorecard data containing production area information for each of the well group; and perform an automated validation of the jill completion worksite for each of the all workgroups against the qr WY logging tool data (il completion site data) that defines one or more regions for each of the jill completion workgroups. The production logging tool data contains saturation information for each of the 0 action well metrics depth zone groups for each LY group Automated wet completion worksite validation for each BIG work group includes a comparison of one or more well completion work areas For one or more wells with corresponding depth zones (ull pl) that has a saturation level indicative of the presence of a 'producing flow zone' that is performed for each of the wellset to ensure that the blister completion site for each of the wellset performs the relevant production logger data. 9. The method in accordance with claim 1; It also includes the following steps: accessing observed liquid flow rate data and production well opening and closing data for the wellset; performing a timely automated validation of a batch of well completions against unprocessed observable fluid flow data; The observed fluid flow rate data includes BL flow rate measurements for each set of time periods for each set of wells; Automated temporal validation of a wellset completion work group involves comparing the opening and closing times of each production well set to the fluid flow rate measurements taken between the corresponding opening and closing times of the corresponding production well for each wellset to determine whether the positive fluid flow rate measurements correspond to the times The open 0 for each well set and the non-positive fluid flow rate measurements correspond to the closing times for each one of the well set to ensure that the blister completion work is set correctly. 0. The method according to claim 1; It also includes the following steps: access to modeled grating fault line data and interpreted grating fault line data for each of 5 or more grating fault lines; f an automated validation of the modeled grating fault line position against the fault line positioning of the grating fault line interpreter. The modeled fault line data interpreter describes the exemplary fault line positioning for each of a group of lattice faults; Interpreted grating fault line data describing the position of an interpreted grating fault line for each group of grating faults; Automated validation of the position of a modeled grid 0 fault line involves comparing the position of the modeled grid fault lines with the position of the interpreted fault line grids for each fault group of the grid to determine whether or not the modeled grid fault line intersects the corresponding interpreted grid fault line to ensure fault group modeling network correctly. 5 11. The method in accordance with claim 10; The automated validation of the position of the modeled grid fault line also includes the following step: Determine each of a group of lattice faults that have a corresponding lattice fault line positioning that is separated from the corresponding interpreted lattice fault line positioning by a value greater than a predetermined allowable value. 12. The method in accordance with claim 1; It also includes the following steps: accessing simulated grid cell data for each of a group of simulated grid cells; f) perform automatic identification and recognition of each group of simulation grid cells that have cell attributes outside the allowable value that have a significant negative impact on simulation computation time and simulation convergence; Cell features include a combination of the following: Angle (LDA), Mass Size (LDA), Volume Variation (DIA 0), and Alkaline Cells. 3. The method according to claim 1; It also includes the following steps: accessing simulated grid cell data for each of a group of simulated grid cells; the known location of one or more well groups; 5 perform an automated grid cell location validation against the known location of one or more wellsets; The simulated grid cell data includes a modeled location for each set of simulated grid cells; Automated validation of grid cell locations involves comparing the modeled simulated grid cell WIA location to the known location of one or more set of wells performed for each simulated grid cell set to ensure that grid cells are positioned correctly. 4. The method according to claim 1; It also includes the following steps: receiving simulated grid cell data for each of a group of simulated grid cells; an automated validation of a simulated network pointer system; Simulation grid cell data includes WIA 3D grid number assignments ala) Automated validation of the simulated grid pointer 5 system involves comparing the simulated grid cell's 3D grid cell number assignment to the top left of the model with a reference grid cell mapping number. 5. A method for generating reservoir data and simulating a reservoir model with quality control and cross-review of the data had) The method includes the following steps: Physically locate a group of seismic wave generators at a surface site on a doje operationally from a reservoir site; The shige seismic wave generator set to generate CD waves is the physical location of the Clase seismic receiver set in J-hole an operational die from the reservoir position; cals by seismic wave generators; one or more seismic waves; and a computer that performs the following operations: 0 sum; via seismic wave receivers; seismic survey data in response to waves received by seismic wave receivers; Processing seismic data and subsequently converting seismic data into reservoir data; Reservoir data includes at least the all crest position data, the specter apex position description for each pore dada from the set of Jul peaks of the HAN simulation model, and the 5-grid horizon data including the grid horizon position for each grating horizon line from collection of horizon gridlines and welltrack alge data describing the location of the J track for each yin track of a wellhead track set; access to wellhead position data and ill track location data modeled and modeled faultline data and interpreted faultline data for each from one or more grid 0 fault lines; simulated grid cell data for each of the simulated grid cell group; grid punch location data describing the grid punch location for each grid punch event set for each of the LY group) and yy completion event data describing location of completion event J for each of set of completion events a for each set of wells; Procedure; For each grid horizon of a group of grid horizons; automatic validation of the lattice horizon position of the lattice horizon against the position of the ll vertices of one or more of a set of al vertices related to the lattice horizon; The location of the A peak of each one or SST of the corresponding fall peaks determines the depth of a geological layer corresponding to the grid horizon line; The step of automated validating the gridline horizon gridline position of the gridline horizon includes comparing the gridline horizon position to the A-peak location of each one or more relevant a-peaks to determine whether one or more of the relevant well add group with the grid line of sight at a confusing location within a first boundary distance of the grid line of sight location; Determine the non-grid horizon line intersecting the wetting vertices comprising one or more sill peaks of the well add group having a position not within the first boundary distance of the relevant grid horizon position; provide indication of non-grid line of sight intersecting with add blisters; Perform an automated validation of the modeled grating fault line position against the fault line positioning 0 The modeled faultline data interpreter describing the modeled fault line positioning for each set of faults; Interpreted grating fault line data describing the position of an interpreted grating fault line for each fault group; Automated validation of the positioning of the modeled gratings involves comparing the positioning of the modeled fault grids with the positioning of the interpreted fault lines for each fault group to determine whether or not the modeled fault line intersects the corresponding interpreted grid fault line to ensure fault group modeling. network correctly; Perform a JT determination for each set of simulated network WIA whose WA attributes are inconsistent with the allowed value and have a significant negative impact on simulation computation time and simulation convergence; Cell attributes include a combination of the following: Angle (LIS) Block Size (WDA) Size Variation (DIA 0) and Alkalinity Cells; Procedure; for each of the set of well paths; idl ddd to a set of at least two of the set of ll apex sites associated with the “ill” path Each Aad site identifies an inlet wellhead of a related well from the wellset within a corresponding geological stratum; includes automated validation of the wellhead path position of the wellhead path position on 5 Comparing the wellpath position with the ll apex positions of each of the corresponding corresponding set of two on JB from the set of wellhead locations with respect to the Ad path) to determine if the all path locations separated from a track extending between the wellhead positions of at least two of the group of ill positions by at least a second boundary distance; Identification of incorrect il paths comprising one or SST of a set of well paths having a separate Ji path position from the path between the pull dad positions of a set of at least two of the relevant set of ji crest positions by the blister path by at least the second boundary distance; provide an indication of incorrect All paths; performs an automated validation of the position of the J-track of each set of perforation paths against the grid-punch site of one or more grid-punch events related to the set of grid-punch events; 0 identifies each grating perforation event oda site of J relevant to the OLY ensemble) Automated validation of the track position A of each of the Al track ensemble vis-à-vis the grating sites includes a comparison of the well path position with the perforation site related perforation events for each of the Jal path group to determine whether there is an intersection between alse the blister path and grid perforation position work related from the mesh punch event set for each one of the Jal path group to ensure that the group 5 -_All paths are positioned correctly correct; Performs an automated validation of the location of the ll completion event of each of the jill completion events against the perforation location of at least one perforation event of the set of jill completions; Retinal perforation location data contains the associated depth region corresponding to one or more relevant depth regions for each set of retinal hole events; Baster completion event data contains 0 Define one corresponding relevant depth region or SST of related depth regions for each of the two sputter completion events Automatic validation of the location of the spatter completion event for each of the broadcast completion event sets includes at least one comparison of one or more Gaal regions complete jl all dla views of the well set with at least one of one or more regions of the relevant corresponding well grid perforation event for each of the spatter completion event set 5 to determine whether there are intersections between the region Depth for Well Work (JUS) All relevant corresponding from Well group and work area for the corresponding well grating work for each one of the completion work group to ensure that all completion work work is properly positioned. Produce a tank model based on validating grid horizon placements; validation of the positioning of the modeled lattice fault line; identifying a set of grid simulation cells that have cell attributes outside the allowable value that negatively affects simulation convergence and simulation computation time; validation of the locations of the extrusion paths and validation of the locations of the welling completion work sites; And the production of hydrochloric materials from the reservoir based on the reservoir model. 6-. computer-implemented method in accordance with claim 15; Where the automated validation of 0 path position Jl) of each of the well path group against the grate punch locations also involves identifying each of the path group ll that does not intersect with its corresponding corresponding grate work; where the automated validation of the location of the ad completion work for each of the all Lad completion work groups involves identifying each of the il completion work groups that do not intersect with the corresponding lattice punch work; and 5 where the (JY) validation of the lattice faultline positioning of the Lad model involves the identification of each of a set of lattice faults with a corresponding fault lattice positioning separated from the corresponding interpreted faultline positioning by a value greater than the allowed value it predetermined. 7. A computer-implemented method in accordance with claim 15; It also includes the following steps: receiving completion work data (al) and the production performance logger data containing production area information for each well group; Perform J validation of the Blister completion work location for each of the completion work group against the production logger data; Well completion work data identifies one or more zones corresponding to each de sane completion work “all.” The production logging tool data contains information on saturation 5 for each of the group of operational ll measurements depth zones for each well group; Includes automated validation of the job site (ll JUS) of each of the batch completion workgroups against tool data Recording of production on comparison of the one or SST of the completion work areas a of one or more wells with the well measurements depth areas of the corresponding well that has a saturation level indicative of the presence of a “streaming production area” that is conducted for each of the well groups to ensure that the completion site ll for each of the well set performs the relevant production logging tool data. 8. A computer-implemented method in accordance with claim 15; It also includes the following steps: receiving unprocessed observable fluid flow data; production well opening and closing data for a group of wells; perform a temporally automated validation of a set of well completions against unprocessed NFC 0 data; Observable fluid flow rate data includes fluid flow rate measurements for each set of time periods for each set of wells; Automated temporal validation of an ill completion workgroup involves comparing the opening and closing times of each production well set to the fluid flow rate measurements taken between the corresponding opening and closing times of the corresponding production well for each wellset to determine whether the positive fluid flow rate measurements Corresponding to the opening times of each 5 of the well set and non-positive BL flow rate measurements corresponding to the closing times of each of the well set to ensure that the blister completion work is set correctly. 9. Method for creating reservoir data and simulating a reservoir model with quality control and cross-review of the data had) The method includes the following steps: 0 Physical location of the AIH receiver array) in a scattering bore within operational proximity to the reservoir position” The seismic wave receiver array is shige to collect seismic survey data in the form of seismic waves; cays through seismic wave generators; one or more seismic waves; and a computer that performs the following operations: collection; via seismic wave receivers; seismic survey data in response to the waves received by the seismic wave receiver array; — 9 3 — Process the seismic data and thus convert the seismic data into reservoir data; Reservoir data that includes at least well dad site data; network horizon line data; lily the site of a blister pathway; Validate a grid index system for grids being used in reservoir modeling by validating the assignment of a relevant grid cell number to a reference grid ¢ Validating a grid site by comparing that site to a known sporulation site; validation of the grid horizon for each one or more of the peaks of scattering related to the grid horizon; by determining whether the ein of the retinal horizon is within the first boundary distance of the position of the blistering apex; 0 Verify the wetter trajectory of a wetter by: determining whether a portion of the retinal horizon line is within the second marginal distance of the position of the all peak with respect to each of the two il peaks related to the well; determine whether the retinal perforation intersects with part of the path of the well for one or more of the retinal perforations; 5 I check the fault line of the lattice of the model by determining whether the fault position of the modeled lattice is within a third boundary distance of the location of an interpreted fault line. Identification and characterization of gratings with angle issues (LDA, WAY, ABS, cell size variation; or alkaline cells; where it has a significant negative effect on simulation computation time and simulation convergence; validation of well completion for a well by determining whether the depth zone of completion intersects 0 depth zone of perforation connected to the well and the well completion location shown in the well log data of the well; and verification of Validate a sill completion action temporarily by determining whether the observed fluid flow rate data corresponds to the opening or closing actions of the sill completion action inta z model z tank based on the validation of a grid indicator system of grids 'grid position' and line 5 Grid horizon; path of all and completion of blisters and completion work of all production of hydrocarbons from the reservoir according to the reservoir model. 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Wha. da aam rs > lo) 1 i 01 3 JL x L 1 retaliation Sued Authority for Intellectual Property RE .¥ + \ A 0 § 8 Ss o + < M SNE A J > E K J TE I UN BE Ca a a a ww > Ld Ed H Ed - 2 Ld, provided that the annual financial consideration is paid for the patent and that it is not null and void for violating any of the provisions of the patent system, layout designs of integrated circuits, plant varieties and industrial designs, or its implementing regulations. Ad Issued by + bb 0.b The Saudi Authority for Intellectual Property > > > This is PO Box 1011 .| for ria 1*1 v= ; Kingdom | Arabic | For Saudi Arabia, SAIP@SAIP.GOV.SA