CN108897061B - Method, device and system for determining sand body proportion of reservoir - Google Patents
Method, device and system for determining sand body proportion of reservoir Download PDFInfo
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- CN108897061B CN108897061B CN201811002243.3A CN201811002243A CN108897061B CN 108897061 B CN108897061 B CN 108897061B CN 201811002243 A CN201811002243 A CN 201811002243A CN 108897061 B CN108897061 B CN 108897061B
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Abstract
The embodiment of the specification discloses a method, a device and a system for determining the proportion of a reservoir sand body, wherein the method comprises the steps of scanning a reservoir outcrop analogue body of a target work area by laser to obtain a digital outcrop profile of the reservoir outcrop analogue body; extracting sand layer thickness data from the digital outcrop section, and determining sand body proportion data of a reservoir according to the sand layer thickness data; and determining the reservoir sand body proportion of the target work area based on the determined reservoir sand body proportion data and the logging reservoir sand body proportion data. By utilizing the embodiments of the specification, the sand body proportion of the reservoir can be determined more accurately, and the sand body modeling precision can be further greatly improved.
Description
Technical Field
The invention relates to the technical field of petroleum and natural gas exploration and development, in particular to a method, a device and a system for determining a sand body proportion of a reservoir.
Background
In the exploration evaluation and development stage of an oil field, reservoir research aims at establishing a quantitative three-dimensional reservoir geological model. In order to improve the accuracy of reservoir modeling, it is necessary to ensure the accuracy of the raw data used for modeling as much as possible. The reservoir sand body proportion is one of the most important parameters for reservoir sand body three-dimensional modeling.
At present, the sand proportion between wells is usually obtained by acquiring underground well data and then carrying out interpolation according to the well data. However, the data of the underground wells are discrete, the inter-well distance is generally more than several kilometers, the reliability of determining the inter-well sand body proportion is seriously influenced, and the precision of reservoir sand body three-dimensional modeling is further influenced. Therefore, a method for determining the sand ratio more accurately is needed in the technical field to construct a reservoir sand three-dimensional model more accurately.
Disclosure of Invention
The embodiment of the specification aims to provide a method, a device and a system for determining the sand body proportion of a reservoir, which can more accurately determine the sand body proportion of the reservoir and further can greatly improve the sand body modeling precision.
The specification provides a method, a device and a system for determining the sand body proportion of a reservoir, which are realized by the following modes:
a method of determining a reservoir sand fraction comprising:
laser scanning a reservoir outcrop analogue body of a target work area to obtain a digital outcrop section of the reservoir outcrop analogue body;
extracting sand layer thickness data from the digital outcrop section, and determining sand body proportion data of a reservoir according to the sand layer thickness data;
and determining the reservoir sand body proportion of the target work area based on the determined reservoir sand body proportion data and the logging reservoir sand body proportion data.
In another embodiment of the method provided herein, the obtaining a digital outcrop profile of the reservoir outcrop analog comprises:
laser scanning a reservoir outcrop analogue body of a target work area to obtain laser point cloud data and texture images of the reservoir outcrop analogue body;
performing triangulation modeling on the laser point cloud data based on an optimal trend surface to obtain a point cloud initial model, wherein the optimal trend surface comprises a projection surface with the largest projection area of the laser point cloud data;
and mapping the texture image to the point cloud initial model to obtain a digital outcrop section.
In another embodiment of the method provided in this specification, the determining a reservoir sand fraction of the target work area includes:
obtaining first sand body proportion data of an interwell reservoir by interpolation according to the logging data;
determining second sand proportion data of the reservoir among wells according to the determined sand proportion data of the reservoir;
and determining the reservoir sand body proportion of the target work area according to the mean value of the first sand body proportion data and the second sand body proportion data.
In another embodiment of the method provided in this specification, the method further comprises:
and constructing a reservoir sand body model by using a multi-point phase simulation algorithm based on the reservoir sand body proportion of the target work area.
In another aspect, an embodiment of the present specification further provides an apparatus for determining a sand ratio of a reservoir, including:
the outcrop section determining module is used for scanning the reservoir outcrop analogue of the target work area by laser to obtain a digital outcrop section of the reservoir outcrop analogue;
the first sand body proportion determining module is used for extracting sand layer thickness data from the digital outcrop section and determining sand body proportion data of the reservoir according to the sand layer thickness data;
and the second sand body proportion determining module is used for determining the reservoir sand body proportion of the target work area based on the determined reservoir sand body proportion data and the logging reservoir sand body proportion data.
In another embodiment of the apparatus provided in this specification, the outcrop profile determination module includes:
the data acquisition unit is used for scanning the reservoir outcrop similarity of the target work area by laser to acquire laser point cloud data and texture images of the reservoir outcrop similarity;
the point cloud model building unit is used for carrying out triangulation modeling on the laser point cloud data based on an optimal trend surface to obtain a point cloud initial model, wherein the optimal trend surface comprises a projection surface with the maximum projection area of the laser point cloud data;
and the outcrop section determining unit is used for mapping the texture image to the point cloud initial model to obtain a digital outcrop section.
In another embodiment of the apparatus provided in this specification, the second sand ratio determining module includes:
the first sand body proportion determining unit is used for obtaining first sand body proportion data of the reservoir among wells according to the logging data interpolation;
the second sand body proportion determining unit is used for determining second sand body proportion data of the reservoir among wells according to the determined sand body proportion data of the reservoir;
and the third sand body proportion determining unit is used for determining the reservoir sand body proportion of the target work area according to the mean value of the first sand body proportion data and the second sand body proportion data.
In another embodiment of the apparatus provided in this specification, the apparatus further comprises:
and the sand body model building module is used for building a reservoir sand body model by utilizing a multi-point phase simulation algorithm based on the reservoir sand body proportion of the target work area.
In another aspect, an embodiment of the present specification further provides an apparatus for determining a sand fraction of a reservoir, including a processor and a memory for storing processor-executable instructions, where the instructions, when executed by the processor, implement steps including:
laser scanning a reservoir outcrop analogue body of a target work area to obtain a digital outcrop section of the reservoir outcrop analogue body;
extracting sand layer thickness data from the digital outcrop section, and determining sand body proportion data of a reservoir according to the sand layer thickness data;
and determining the reservoir sand body proportion of the target work area based on the determined reservoir sand body proportion data and the logging reservoir sand body proportion data.
In another aspect, the present specification further provides a system for determining a sand fraction of a reservoir, including at least one processor and a memory storing computer-executable instructions, where the processor executes the instructions to implement the steps of the method according to any one of the above embodiments.
According to the method, the device and the system for determining the sand proportion of the reservoir, provided by one or more embodiments of the specification, the digital outcrop section of the reservoir outcrop analogue body can be obtained by scanning the reservoir outcrop analogue body of a target work area by laser, then, sand layer thickness data is extracted from the digital outcrop section, and the sand proportion data of the reservoir is quantitatively determined according to the sand layer thickness data. And then, determining the sand body proportion of the reservoir between wells by taking the sand body proportion data quantitatively determined by the digital outcrop section as constraints, thereby improving the accuracy of determining the sand body proportion of the reservoir in the target work area.
Drawings
In order to more clearly illustrate the embodiments of the present specification or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments or the prior art will be briefly introduced below, it is obvious that the drawings in the following description are only some embodiments described in the present specification, and for those skilled in the art, other drawings can be obtained according to the drawings without any creative effort. In the drawings:
FIG. 1 is a schematic flow chart diagram of an embodiment of a method for determining a sand fraction of a reservoir provided herein;
FIG. 2 is a schematic flow chart diagram illustrating another embodiment of a method for determining a sand fraction of a reservoir provided herein;
FIG. 3 is a schematic illustration of a sand training image of a lower gram section in one example provided herein;
FIG. 4 is a schematic illustration of a sand training image of the upper gram section in one example provided herein;
FIG. 5 is a schematic representation of a three-dimensional model of reservoir sand at the bottom of a gram section in one example provided herein;
FIG. 6 is a schematic representation of a three-dimensional model of reservoir sand in the upper gram section in one example provided herein;
FIG. 7 is a block diagram of an embodiment of an apparatus for determining a sand fraction of a reservoir provided herein;
fig. 8 is a schematic block diagram of another embodiment of the apparatus for determining a sand fraction of a reservoir provided in the present specification.
Detailed Description
In order to make those skilled in the art better understand the technical solutions in the present specification, the technical solutions in one or more embodiments of the present specification will be clearly and completely described below with reference to the drawings in one or more embodiments of the present specification, and it is obvious that the described embodiments are only a part of the embodiments of the specification, and not all embodiments. All other embodiments obtained by a person skilled in the art based on one or more embodiments of the present specification without making any creative effort shall fall within the protection scope of the embodiments of the present specification.
In the exploration evaluation and development stage of an oil field, reservoir research aims at establishing a quantitative three-dimensional reservoir geological model. In order to improve the accuracy of reservoir modeling, it is necessary to ensure the accuracy of the raw data used for modeling as much as possible. The reservoir sand body proportion is one of the most important parameters for reservoir sand body three-dimensional modeling.
Correspondingly, the embodiment of the specification provides a method for determining the sand proportion of a reservoir, which includes the steps of firstly scanning a reservoir outcrop analogue of a target work area by laser to obtain a digital outcrop section of the reservoir outcrop analogue, then extracting sand thickness data from the digital outcrop section, and quantitatively determining the sand proportion data of the reservoir according to the sand thickness data. And then, the sand body proportion data quantitatively determined by the digital outcrop section can be used as constraints to determine the sand body proportion of the reservoir between wells, so that the accuracy of determining the sand body proportion of the reservoir in the target work area is improved, and the precision of sand body modeling can be greatly improved.
FIG. 1 is a schematic flow chart of an embodiment of the method for determining the sand proportion of the reservoir provided by the specification. Although the present specification provides the method steps or apparatus structures as shown in the following examples or figures, more or less steps or modules may be included in the method or apparatus structures based on conventional or non-inventive efforts. In the case of steps or structures which do not logically have the necessary cause and effect relationship, the execution order of the steps or the block structure of the apparatus is not limited to the execution order or the block structure shown in the embodiments or the drawings of the present specification. When the described method or module structure is applied to a device, a server or an end product in practice, the method or module structure according to the embodiment or the figures may be executed sequentially or in parallel (for example, in a parallel processor or multi-thread processing environment, or even in an implementation environment including distributed processing and server clustering).
In one embodiment of the method for determining a sand fraction of a reservoir provided herein, as shown in fig. 1, the method may include:
s2: and scanning the reservoir outcrop analogue body of the target work area by laser to obtain a digital outcrop section of the reservoir outcrop analogue body.
The outcrop may refer to the portion of the rock, vein and deposit that is exposed above the ground, and the reservoir outcrop is a real depiction of the underground reservoir. The reservoir outcrop analogue may refer to outcrop that may be used to delineate a subterranean reservoir. In particular, the reservoir outcrop similarity of the target work area may be predetermined. In some embodiments, the outcrop analogs can include the following characteristics: the outcrop is complete, the coverage is less and the weathering is less; the outcrop and the underground reservoir belong to the same source system; outcrops have the same depositional environment and depositional facies as underground reservoirs.
In some embodiments, a digital outcrop profile of a reservoir outcrop analogue may be obtained using a field outcrop data acquisition system. The field outcrop data acquisition system may include a ground lidar scanner and a high-resolution digital camera. The three-dimensional point cloud and the laser intensity data of the outcrop surface layer can be obtained by utilizing the ground laser radar, so that the relative space geometric information and the target reflection characteristic of the outcrop surface layer can be accurately described. Meanwhile, a high-resolution digital camera is used for acquiring a high-precision texture image of the outcrop of the reservoir.
Then, laser point cloud data processing can be performed to establish a digital outcrop profile. Specifically, the point cloud data scanned at multiple stations can be spliced to obtain laser point cloud data with complete outcrop; and then, constructing a digital outcrop section according to the complete outcrop point cloud data based on a triangulation modeling method.
In some embodiments, Delauney triangulation modeling may be performed by projecting all points to a horizontal plane to construct a digital outcrop profile. However, the accuracy of the method for the approximately vertical digital outcrop section is low, and further, in one embodiment of the specification, the method can be used for scanning the reservoir outcrop similarity body of the target work area by laser to obtain laser point cloud data and texture images of the reservoir outcrop similarity body; performing triangulation modeling on the laser point cloud data based on an optimal trend surface to obtain a point cloud initial model, wherein the optimal trend surface comprises a projection surface with the largest projection area of the laser point cloud data; and mapping the texture image to the point cloud initial model to obtain a digital outcrop section.
In specific implementation, for example, complete laser point cloud data with a complete outcrop can be obtained by the above method, and then, an optimal trend surface can be generated by using the complete laser point cloud data, where the optimal trend surface may include a trend surface that conforms to the outcrop itself, for example, the complete outcrop point cloud data may be projected to each direction, and a projection surface corresponding to a direction with a maximum projection area is used as the optimal trend surface. And then, projecting all the points to the trend surface, and then modeling by using a Delauney triangulation network to obtain a point cloud initial model. Then, mapping the high-precision texture photo onto the model by using mapping software to form a digital outcrop section model with color texture information. Therefore, the accuracy and the visibility of the constructed digital outcrop section model are greatly improved.
S4: and extracting sand layer thickness data from the digital outcrop section, and determining sand body proportion data of each reservoir according to the sand layer thickness data.
And on the constructed digital outcrop section, classifying the sandstone and the mudstone according to the laser intensity data, and quantitatively extracting the thickness of each sand layer. Different rock component targets have different reflectivity to laser and are represented as different laser intensity values, so that the glutenite and the mudstone can be classified according to the laser intensity values on the digital outcrop section, sand and the glutenite are extracted, and the thickness of each sand layer is calculated.
Then, the sand body proportion can be respectively counted according to different stratum groups and sections, so that the sand body proportion of each stratum on the outcrop is determined. In specific implementation, the proportion of the sum of the thicknesses of the sand bodies of different stratum groups and sections to the total stratum thickness can be counted respectively, and the proportion of the sum of the thicknesses of the sand bodies to the total stratum thickness is determined as the sand body proportion.
Furthermore, sand volume proportion data of each reservoir on a plurality of digital outcrop profiles can be obtained, then, an average value of the sand volume proportion data of the plurality of digital outcrop profiles is taken, and the average value is used as the sand volume proportion of each reservoir. Thereby further improving the accuracy of the determined sand body proportion of each reservoir.
S6: and determining the reservoir sand body proportion of the target work area based on the determined sand body proportion data of each reservoir and the reservoir sand body proportion data of the underground well.
The sand body proportion of the reservoir in the target work area can be determined by restricting the sand body proportion of the reservoir between wells by utilizing the sand body proportion of each stratum group and section obtained from the digital outcrop section. The data of the underground wells are discrete, and the distances among the wells are generally more than several kilometers, so the sand body proportion among the wells depends on the interpolation of the well data. By utilizing the sand body proportion of each stratum group and section obtained from the digital outcrop section to restrain the sand body proportion of the reservoir layer among wells, the reliability of the sand body proportion among wells can be improved.
In an embodiment of the present description, first sand proportion data of an interwell reservoir may be obtained according to interpolation of log data, then, second sand proportion data of the interwell reservoir may be determined according to the determined sand proportion data of the reservoir, and then, reservoir sand proportion of the target work area may be determined according to an average value of the first sand proportion data and the second sand proportion data.
First sand proportion data of each reservoir among wells can be obtained according to interpolation of logging data, the logging data can comprise sand thickness data of each reservoir and total reservoir thickness data measured through logging, and then the sand proportion data of each reservoir are obtained through calculation. Further, through interpolation calculation, first sand proportion data of the reservoir among wells can be obtained.
Second sand fraction data for each reservoir between wells may then be obtained from the digital outcrop profile according to the method of the above embodiment. Further, the average value of the first sand volume proportion data and the second sand volume proportion data can be calculated, and the average value is used as the sand volume proportion value of each reservoir between wells. And then, further combining the sand body proportion data obtained through logging to obtain the sand body proportion data of each reservoir stratum of the target work area. In the embodiment, the sand body proportion data between the reservoir wells can be more accurately determined by calculating the mean value of the sand body proportion data and the reservoir wells. Thereby further improving the accuracy of the finally determined reservoir sand body proportion.
Certainly, during specific implementation, the first sand body proportion data and the second sand body proportion data can also be comprehensively analyzed in other modes to determine the sand body proportion between the reservoir wells, for example, the sand body proportion between the reservoir wells can be calculated and determined according to the proportion weight of the two parameters finely adjusted according to the actual terrain.
The sand body proportion of the reservoir between wells is restrained by utilizing the sand body proportion obtained from the digital outcrop section, the reservoir sand body proportion of the target work area is determined, and the accuracy of finally obtaining the sand body proportion can be improved.
Fig. 2 is a schematic flow diagram of another embodiment of a method for determining a sand fraction of a reservoir provided in this specification, where as shown in fig. 2, in one or more embodiments provided in this specification, the method may further include:
s8: and constructing a reservoir sand body model by utilizing a multi-point phase simulation algorithm based on the reservoir sand body proportion.
The vertical sand proportion analysis may be analyzed to obtain uphole coarsened information, which may include data obtained by gridding the well raw sand thickness data. Then, a training image can be established by utilizing the transverse extension width and the longitudinal extension width of the sand body according to the sector development characteristics of the work area. A multi-point analysis phase pattern may then be made from the training images, which are mathematical representations of the training images. And performing multi-point phase simulation according to the obtained training image mode to establish a reservoir sand body model.
The Multi-point Facies Simulation (Multi-point Facies Simulation-MPFS) can be established on a spatial correlation function from one point to a plurality of points, and the priori knowledge and the geologic body parameters are added into the model by combining with the target body modeling, so that the geologic body information and the data points are simultaneously applied to the modeling process. The reservoir sand body model is established by utilizing multi-point phase simulation, so that the guidance of priori knowledge on the model can be improved, the model is faithful to data, and the modeling precision is improved.
In the solution provided by one or more embodiments of the present specification, a high-precision digital outcrop profile of a field reservoir outcrop similarity problem is obtained by using a ground laser scanning technology, sand proportion data is quantitatively extracted on a digital outcrop model, and determination of inter-well reservoir sand proportion is constrained by the sand proportion data which is quantitatively extracted, so that accuracy of determination of the reservoir sand proportion of a target work area is further improved. And then, a sand body three-dimensional geological model is further constructed by utilizing the finally determined reservoir sand body proportion data, so that the modeling precision can be greatly improved.
In order to better illustrate the practicability and feasibility of the scheme described in the embodiment of the specification, the specification further provides a specific example, the cramy group in the pseudo-solenon basin is taken as a research object, the geologic outcrop is exposed by the cramy group, and the reservoir sand body modeling is carried out on the cramy group by restricting well data.
1. Outcrop analogs of the subsurface reservoir are determined.
The better geological outcrop of the sub-songorian group in the sub-songorian basin can be selected as the outcrop analogue of the underground reservoir. The cladribine group outcrops and underground cladribine group reservoirs in the research area belong to the same source system, and the cladribine group outcrops are of alluvial fan-fan delta phase, underground is of braided river delta phase and are also of coarse clastic delta deposition, and have comparability. In this example, 4 outcrop sections were selected as sand volume fraction constraints for downhole modeling.
2. The laser scans the outcrop analog to obtain a digital outcrop profile.
And acquiring the outcrop data of the research area through an outcrop data acquisition system to obtain a digital outcrop section. The field outcrop data acquisition system can comprise a ground laser radar scanner and a high-resolution digital camera. In the example, the selected ground laser radar equipment is austria rigel-vz400, the scanning distance and the scanning point distance are set, and a ground laser radar scanner is used for collecting three-dimensional point cloud and laser intensity data of the outcrop surface layer, so that the relative space geometric information and the target reflection characteristic of the outcrop surface layer are accurately described. The high-resolution digital camera selects bingde 645D, up to 4000 ten thousand pixels, and is used for acquiring the high-precision texture image of the outcrop.
Then, the point cloud data can be processed to obtain complete outcrop point cloud data; and then, constructing a digital outcrop section by using the complete outcrop point cloud data. The method comprises the following specific steps:
(1) point cloud data processing: and processing data acquired by a ground laser radar scanner and a high-resolution digital camera, and splicing the point cloud data scanned by multiple stations by utilizing the processing software of the scanner to form complete outcrop point cloud data.
(2) Establishing a digital outcrop section: and establishing a point cloud initial model by adopting a triangulation network modeling method, and mapping the high-precision texture photo onto the model by using mapping software to form a digital outcrop section model with color texture information.
3. And quantitatively extracting the thickness of the sand layer on the digital outcrop section to determine the outcrop sand body proportion.
Different rock composition targets have different reflectivity to the laser, representing different laser intensity values. Within the area of study, conglomerate and mudstone are predominantly contained. In this example, a large number of experiments show that the laser intensity value of the conglomerate is about-1, and the laser intensity value of the mudstone is about-6, so that the conglomerate and the mudstone can be classified according to the laser intensity value on the digital outcrop section, the conglomerate is extracted, and the thickness of each sand layer is calculated. In this example, the crambe component is divided into an upper gram section and a lower gram section, and the ratio of the sum of the thicknesses of the sand bodies in the upper gram section and the lower gram section to the total thickness of the formation is counted as the sand body ratio. The average value of the proportion of two sections of sand bodies on the outcrop is determined from 4 digital outcrop sections, the proportion of sand bodies on the upper section is 54 percent, and the proportion of sand bodies on the lower section is 40 percent.
4. And utilizing the outcrop sand body proportion to restrict the inter-well reservoir sand body proportion.
In this example, the area of interest is 107 square kilometers, with a total of 33 wells, all at distances above 1 kilometer. And analyzing the average value of the sand body proportion from the well data, wherein the sand body proportion of the upper gram section is 35 percent, and the sand body proportion of the lower gram section is 24 percent. And then, constraining the sand proportion of the reservoir between wells according to the sand proportion obtained from the digital outcrop section, integrating the two sand proportions to perform mean calculation, wherein the sand proportion of the upper gram segment is 44%, the sand proportion of the lower gram segment is 32%, and finally the sand proportion is used as a modeling parameter.
5. And establishing the underground sand body three-dimensional geological model by using a multipoint facies modeling method.
Firstly, according to remote sensing data and geological data of a work area, a braided river facies-a braided river delta facies is combined, and the development characteristics of a sector are determined. Then, a sand body development training image is established for the gram lower segment and the gram upper segment according to the sand body transverse extension width and the longitudinal extension width. FIGS. 3 and 4 are schematic diagrams of sand training images, wherein FIG. 3 shows a gram lower segment (T)2K1) Sand body training image of (1), fig. 4 shows the gram upper segment (T)2K2) The shape in fig. 3 and 4 represents shale and sand represents sandstone. The number of training image grids is set as: 100 × 30, the training image grid size is set to: 100M × 10M, the training image size may be set to: 10 km x 300 m.
And making a multi-point analysis phase pattern according to the training image, wherein the training image pattern is a mathematical expression of the training image. And then, performing multi-point phase simulation according to the obtained training image mode to establish a reservoir sand body model. Fig. 5 and 6 show a reservoir sand three-dimensional model obtained by modeling using a scheme of an embodiment of the present specification, wherein fig. 5 shows a gram lower segment (T)2K1) Fig. 6 shows the gram upper segment (T)2K2) The reservoir sand body three-dimensional model of (1). By analyzing FIGS. 5 and 6It is seen that the overall sand thickness and connectivity in the reservoir sand three-dimensional model obtained by the scheme of the embodiment of the specification are increased. Therefore, the method for constructing the reservoir sand body three-dimensional model by using the scheme of the embodiment of the specification can greatly improve the precision of the finally obtained three-dimensional model.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. For details, reference may be made to the description of the related embodiments of the related processing, and details are not repeated herein.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
According to the method for determining the sand proportion of the reservoir, provided by one or more embodiments of the specification, the digital outcrop section of the reservoir outcrop analogue can be obtained by scanning the reservoir outcrop analogue of a target work area with laser, then sand layer thickness data is extracted from the digital outcrop section, and the sand proportion data of the reservoir is quantitatively determined according to the sand layer thickness data. And then, determining the sand body proportion of the reservoir between wells by taking the sand body proportion data quantitatively determined according to the digital outcrop section as a constraint, thereby improving the accuracy of determining the sand body proportion of the reservoir in the target work area.
Based on the method for determining the sand ratio of the reservoir, one or more embodiments of the specification further provide a device for determining the sand ratio of the reservoir. The apparatus may include systems, software (applications), modules, components, servers, etc. that utilize the methods described in the embodiments of the present specification in conjunction with hardware implementations as necessary. Based on the same innovative conception, embodiments of the present specification provide an apparatus as described in the following embodiments. Since the implementation scheme of the apparatus for solving the problem is similar to that of the method, the specific implementation of the apparatus in the embodiment of the present specification may refer to the implementation of the foregoing method, and repeated details are not repeated. As used hereinafter, the term "unit" or "module" may be a combination of software and/or hardware that implements a predetermined function. Although the means described in the embodiments below are preferably implemented in software, an implementation in hardware, or a combination of software and hardware is also possible and contemplated. Specifically, fig. 7 is a schematic block diagram illustrating an embodiment of an apparatus for determining a sand fraction of a reservoir according to the present disclosure, where as shown in fig. 7, the apparatus may include:
the outcrop section determining module 102 may be configured to scan a reservoir outcrop analog of a target work area with laser to obtain a digital outcrop section of the reservoir outcrop analog;
a first sand proportion determining module 104, configured to extract sand thickness data from the digital outcrop profile, and determine sand proportion data of the reservoir according to the sand thickness data;
the second sand proportion determination module 106 may be configured to determine the reservoir sand proportion of the target work area based on the determined reservoir sand proportion data and the log reservoir sand proportion data.
By the aid of the scheme of the embodiment, the sand body proportion of the reservoir can be determined more accurately.
In another embodiment of the present disclosure, the outcrop section determination module 102 may include a data acquisition unit, a point cloud model construction unit, and an outcrop section determination unit, wherein,
the data acquisition unit can be used for laser scanning the reservoir outcrop analogue body of the target work area to acquire laser point cloud data and texture images of the reservoir outcrop analogue body;
the point cloud model building unit may be configured to perform triangulation modeling on the laser point cloud data based on an optimal trend surface to obtain an initial point cloud model, where the optimal trend surface includes a projection surface with a maximum projection area of the laser point cloud data;
the outcrop section determining unit may be configured to map the texture image to the point cloud initial model to obtain a digital outcrop section.
By utilizing the scheme of the embodiment, the accuracy and the visibility of the constructed digital outcrop section model can be greatly improved.
In another embodiment of the present specification, the second sand ratio determining module 106 may include a first sand ratio determining unit, a second sand ratio determining unit, and a third sand ratio determining unit:
the first sand body proportion determining unit can be used for obtaining first sand body proportion data of the reservoir among wells according to the logging data interpolation;
the second sand body proportion determining unit can be used for determining second sand body proportion data of the interwell reservoir according to the determined sand body proportion data of the reservoir;
the third sand body proportion determining unit may be configured to determine the reservoir sand body proportion of the target work area according to the mean value of the first sand body proportion data and the second sand body proportion data.
By utilizing the scheme of the embodiment, the sand body proportion data among the reservoir wells can be more accurately determined, so that the accuracy of the finally determined reservoir sand body proportion is further improved.
Fig. 8 is a schematic block diagram illustrating another embodiment of the apparatus for determining a sand ratio of a reservoir provided in the specification, and as shown in fig. 8, in another embodiment of the specification, the apparatus may further include:
the sand model building module 108 may be configured to build a reservoir sand model using a multi-point facies simulation algorithm based on the reservoir sand proportion of the target work area.
By utilizing the scheme of the embodiment, the precision of the constructed sand body model can be greatly improved.
It should be noted that the above-described apparatus may also include other embodiments according to the description of the method embodiment. The specific implementation manner may refer to the description of the related method embodiment, and is not described in detail herein.
According to the device for determining the sand proportion of the reservoir stratum, provided by one or more embodiments of the specification, a digital outcrop section of a reservoir outcrop analogue of a target work area can be obtained by scanning the reservoir outcrop analogue of the target work area with laser, then sand layer thickness data are extracted from the digital outcrop section, and sand proportion data of the reservoir stratum are quantitatively determined according to the sand layer thickness data. And then, determining the sand body proportion of the reservoir between wells by taking the sand body proportion data quantitatively determined by the digital outcrop section as constraints, thereby improving the accuracy of determining the sand body proportion of the reservoir in the target work area.
The method or apparatus provided by the present specification and described in the foregoing embodiments may implement service logic through a computer program and record the service logic on a storage medium, where the storage medium may be read and executed by a computer, so as to implement the effect of the solution described in the embodiments of the present specification. Accordingly, the present specification also provides an apparatus for determining the sand fraction of a reservoir, comprising a processor and a memory storing processor-executable instructions which, when executed by the processor, implement steps comprising:
laser scanning a reservoir outcrop analogue body of a target work area to obtain a digital outcrop section of the reservoir outcrop analogue body;
extracting sand layer thickness data from the digital outcrop section, and determining sand body proportion data of a reservoir according to the sand layer thickness data;
and determining the reservoir sand body proportion of the target work area based on the determined reservoir sand body proportion data and the logging reservoir sand body proportion data.
The storage medium may include a physical device for storing information, and typically, the information is digitized and then stored using an electrical, magnetic, or optical media. The storage medium may include: devices that store information using electrical energy, such as various types of memory, e.g., RAM, ROM, etc.; devices that store information using magnetic energy, such as hard disks, floppy disks, tapes, core memories, bubble memories, and usb disks; devices that store information optically, such as CDs or DVDs. Of course, there are other ways of storing media that can be read, such as quantum memory, graphene memory, and so forth.
It should be noted that the above description of the processing device according to the method embodiment may also include other implementations. The specific implementation manner may refer to the description of the related method embodiment, and is not described in detail herein.
The apparatus for determining the sand ratio of the reservoir according to the embodiment may be configured to obtain a digital outcrop profile of the reservoir outcrop analog by scanning the reservoir outcrop analog of the target work area with laser, extract sand thickness data from the digital outcrop profile, and quantitatively determine sand ratio data of the reservoir according to the sand thickness data. And then, determining the sand body proportion of the reservoir between wells by taking the sand body proportion data quantitatively determined by the digital outcrop section as constraints, thereby improving the accuracy of determining the sand body proportion of the reservoir in the target work area.
The present specification also provides a system for determining the reservoir sand volume ratio, which may be a single system for determining the reservoir sand volume ratio, or may be applied to various types of oilfield development systems or data analysis systems. The system may be a single computer, or may include actual operating devices (e.g., an excitation device, a reception circuit) using one or more methods or apparatuses according to one or more embodiments of the present disclosure. The system for determining a reservoir sand fraction may comprise at least one processor and a memory storing computer-executable instructions which, when executed by the processor, implement the steps of the method of any one or more of the embodiments described above.
It should be noted that the above-mentioned system may also include other implementation manners according to the description of the method or apparatus embodiment, and specific implementation manners may refer to the description of the related method embodiment, which is not described in detail herein.
The system for determining the sand proportion of the reservoir according to the embodiment may obtain the digital outcrop profile of the reservoir outcrop analog by scanning the reservoir outcrop analog of the target work area with laser, then extract the sand thickness data from the digital outcrop profile, and quantitatively determine the sand proportion data of the reservoir according to the sand thickness data. And then, determining the sand body proportion of the reservoir between wells by taking the sand body proportion data quantitatively determined by the digital outcrop section as constraints, thereby improving the accuracy of determining the sand body proportion of the reservoir in the target work area.
It should be noted that, the above-mentioned apparatus or system in this specification may also include other implementation manners according to the description of the related method embodiment, and a specific implementation manner may refer to the description of the method embodiment, which is not described herein in detail. The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the hardware + program class, storage medium + program embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and for the relevant points, refer to the partial description of the method embodiment.
Although the digital outcrop section, sand layer proportion and the like are referred to in the content of the embodiments of the present specification to obtain, define, interact, calculate, judge and the like, and describe data, the embodiments of the present specification are not limited to the case of necessarily conforming to the standard data model/template or the description of the embodiments of the present specification. Certain industry standards, or implementations modified slightly from those described using custom modes or examples, may also achieve the same, equivalent, or similar, or other, contemplated implementations of the above-described examples. The embodiments using these modified or transformed data acquisition, storage, judgment, processing, etc. may still fall within the scope of the alternative embodiments of the present description.
The foregoing description has been directed to specific embodiments of this disclosure. Other embodiments are within the scope of the following claims. In some cases, the actions or steps recited in the claims may be performed in a different order than in the embodiments and still achieve desirable results. In addition, the processes depicted in the accompanying figures do not necessarily require the particular order shown, or sequential order, to achieve desirable results. In some embodiments, multitasking and parallel processing may also be possible or may be advantageous.
The systems, devices, modules or units illustrated in the above embodiments may be implemented by a computer chip or an entity, or by an article of manufacture with certain functionality. One typical implementation device is a computer. In particular, the computer may be, for example, a personal computer, a laptop computer, a vehicle-mounted human-computer interaction device, a tablet computer, or a combination of any of these devices.
For convenience of description, the above devices are described as being divided into various modules by functions, and are described separately. Of course, when implementing one or more of the present description, the functions of each module may be implemented in one or more software and/or hardware, or a module implementing the same function may be implemented by a combination of multiple sub-modules or sub-units, etc. The above-described embodiments of the apparatus are merely illustrative, and for example, the division of the units is only one logical division, and other divisions may be realized in practice, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed. In addition, the shown or discussed mutual coupling or direct coupling or communication connection may be an indirect coupling or communication connection through some interfaces, devices or units, and may be in an electrical, mechanical or other form.
Those skilled in the art will also appreciate that, in addition to implementing the controller as pure computer readable program code, the same functionality can be implemented by logically programming method steps such that the controller is in the form of logic gates, switches, application specific integrated circuits, programmable logic controllers, embedded microcontrollers and the like. Such a controller may therefore be considered as a hardware component, and the means included therein for performing the various functions may also be considered as a structure within the hardware component. Or even means for performing the functions may be regarded as being both a software module for performing the method and a structure within a hardware component.
The present invention is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of the invention. It will be understood that each flow and/or block of the flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In a typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising an … …" does not exclude the presence of other like elements in a process, method or apparatus that comprises the element.
As will be appreciated by one skilled in the art, one or more embodiments of the present description may be provided as a method, system, or computer program product. Accordingly, one or more embodiments of the present description may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, one or more embodiments of the present description may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
One or more embodiments of the present description may be described in the general context of computer-executable instructions, such as program modules, being executed by a computer. Generally, program modules include routines, programs, objects, components, data structures, etc. that perform particular tasks or implement particular abstract data types. One or more embodiments of the present specification can also be practiced in distributed computing environments where tasks are performed by remote processing devices that are linked through a communications network. In a distributed computing environment, program modules may be located in both local and remote computer storage media including memory storage devices.
The embodiments in the present specification are described in a progressive manner, and the same and similar parts among the embodiments are referred to each other, and each embodiment focuses on the differences from the other embodiments. In particular, for the system embodiment, since it is substantially similar to the method embodiment, the description is simple, and for the relevant points, reference may be made to the partial description of the method embodiment. In the description of the specification, reference to the description of the term "one embodiment," "some embodiments," "an example," "a specific example," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the specification. In this specification, the schematic representations of the terms used above are not necessarily intended to refer to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or more embodiments or examples. Furthermore, various embodiments or examples and features of different embodiments or examples described in this specification can be combined and combined by one skilled in the art without contradiction.
The above description is only an example of the present specification, and is not intended to limit the present specification. Various modifications and alterations to this description will become apparent to those skilled in the art. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present specification should be included in the scope of the claims of the present specification.
Claims (6)
1. A method of determining a reservoir sand fraction, comprising:
laser scanning a reservoir outcrop analogue body of a target work area to obtain a digital outcrop section of the reservoir outcrop analogue body;
extracting sand layer thickness data from the digital outcrop section, and determining sand body proportion data of a reservoir according to the sand layer thickness data;
determining the reservoir sand body proportion of the target work area based on the determined reservoir sand body proportion data and the logging reservoir sand body proportion data, wherein the determining comprises the following steps: obtaining first sand body proportion data of an interwell reservoir by interpolation according to the logging data; determining second sand proportion data of the reservoir among wells according to the determined sand proportion data of the reservoir; determining the reservoir sand body proportion of the target work area according to the mean value of the first sand body proportion data and the second sand body proportion data;
and constructing a reservoir sand body model by using a multi-point phase simulation algorithm based on the reservoir sand body proportion of the target work area.
2. The method of determining a reservoir sand fraction as claimed in claim 1, wherein said obtaining a digital outcrop profile of said reservoir outcrop analogs comprises:
laser scanning a reservoir outcrop analogue body of a target work area to obtain laser point cloud data and texture images of the reservoir outcrop analogue body;
performing triangulation modeling on the laser point cloud data based on an optimal trend surface to obtain a point cloud initial model, wherein the optimal trend surface comprises a projection surface with the largest projection area of the laser point cloud data;
and mapping the texture image to the point cloud initial model to obtain a digital outcrop section.
3. An apparatus for determining the sand fraction of a reservoir, comprising:
the outcrop section determining module is used for scanning the reservoir outcrop analogue of the target work area by laser to obtain a digital outcrop section of the reservoir outcrop analogue;
the first sand body proportion determining module is used for extracting sand layer thickness data from the digital outcrop section and determining sand body proportion data of the reservoir according to the sand layer thickness data;
a second sand proportion determination module, configured to determine a reservoir sand proportion of the target work area based on the determined reservoir sand proportion data and the well-logging reservoir sand proportion data, where the second sand proportion determination module includes: the first sand body proportion determining unit is used for obtaining first sand body proportion data of the reservoir among wells according to the logging data interpolation; the second sand body proportion determining unit is used for determining second sand body proportion data of the reservoir among wells according to the determined sand body proportion data of the reservoir; the third sand body proportion determining unit is used for determining the reservoir sand body proportion of the target work area according to the mean value of the first sand body proportion data and the second sand body proportion data;
and the sand body model building module is used for building a reservoir sand body model by utilizing a multi-point phase simulation algorithm based on the reservoir sand body proportion of the target work area.
4. The apparatus of claim 3, wherein the outcrop profile determination module comprises:
the data acquisition unit is used for scanning the reservoir outcrop similarity of the target work area by laser to acquire laser point cloud data and texture images of the reservoir outcrop similarity;
the point cloud model building unit is used for carrying out triangulation modeling on the laser point cloud data based on an optimal trend surface to obtain a point cloud initial model, wherein the optimal trend surface comprises a projection surface with the maximum projection area of the laser point cloud data;
and the outcrop section determining unit is used for mapping the texture image to the point cloud initial model to obtain a digital outcrop section.
5. An apparatus for determining a reservoir sand fraction comprising a processor and a memory for storing processor-executable instructions which, when executed by the processor, implement steps comprising:
laser scanning a reservoir outcrop analogue body of a target work area to obtain a digital outcrop section of the reservoir outcrop analogue body;
extracting sand layer thickness data from the digital outcrop section, and determining sand body proportion data of a reservoir according to the sand layer thickness data;
determining the reservoir sand body proportion of the target work area based on the determined reservoir sand body proportion data and the logging reservoir sand body proportion data, wherein the determining comprises the following steps: obtaining first sand body proportion data of an interwell reservoir by interpolation according to the logging data; determining second sand proportion data of the reservoir among wells according to the determined sand proportion data of the reservoir; determining the reservoir sand body proportion of the target work area according to the mean value of the first sand body proportion data and the second sand body proportion data;
and constructing a reservoir sand body model by using a multi-point phase simulation algorithm based on the reservoir sand body proportion of the target work area.
6. A system for determining the sand fraction of a reservoir, comprising at least one processor and a memory storing computer executable instructions which when executed by the processor implement the steps of the method of any one of claims 1-2.
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