Lagon face complex marl lithology identification method and device, electronic equipment and medium

Abstract

The invention discloses a lagoon face complex marl lithology identification method and device, electronic equipment and a medium. The method comprises the following steps: determining to-be-identified marlstone which is a lagoon face complex marlstone; determining a first-level lithology classification recognition result corresponding to the to-be-recognized marlstone by adopting the first-level lithology recognition plate; determining a second-level lithology identification plate correspondingly adopted by the first-level lithology classification identification result; and determining a second-level lithology classification recognition result corresponding to the to-be-recognized marlstone by adopting the second-level secondary lithology recognition plate. According to the technical scheme, the lithological characters of the to-be-detected lagoon face complex marlstone are recognized by establishing the first-level and second-level lithological character recognition charts, the problem of recognition of the lithological characters of the lagoon face complex marlstone in the prior art is solved, an important judgment basis is provided for subsequent oil-gas exploration and development of a lagoon face complex marlstone reservoir, and the lagoon face complex marlstone reservoir is found. And the accuracy of reservoir lithology identification and oil and gas recognition is improved.

Description

Technical Field

[0001] The present invention relates to the research technical fields of carbonate rock oil and gas reservoir science, petroleum geology, etc., and particularly relates to a method, device, electronic device and medium for identifying the lithology of complex marl in lagoon facies. Background Art

[0002] With the deepening of oil and gas exploration and development, carbonate rock reservoirs have gradually become important research objects, especially complex marl reservoirs in lagoon facies. At present, in the oil and gas exploration of complex marl in lagoon facies, the accurate identification of complex lithologies is an important basic work. Since many wells are relatively old, there is less core sampling, and the logging lithology is seriously inaccurate. Only conventional logging data are available, and the reservoir lithology cannot be accurately identified, resulting in a reduction in the accuracy of oil and gas understanding. Summary of the Invention

[0003] The present invention provides a method, device, electronic device and medium for identifying the lithology of complex marl in lagoon facies. The technical solution of the present invention identifies the lithology of the complex marl in the lagoon facies to be measured by establishing the first-level and second-level lithology identification charts, solves the problem of identifying the lithology of complex marl in lagoon facies in the prior art, provides an important judgment basis for the subsequent oil and gas exploration and development of complex marl reservoirs in lagoon facies, and improves the accuracy of identifying reservoir lithology and oil and gas understanding.

[0004] According to one aspect of the present invention, there is provided a method for identifying the lithology of complex marl in lagoon facies, which is applied to a device for identifying the lithology of complex marl in lagoon facies. The device for identifying the lithology of complex marl in lagoon facies is arranged at a well site and / or a base data center. The method includes:

[0005] Determine the marl to be identified, and the marl to be identified is complex marl in lagoon facies;

[0006] Use the first-level lithology identification chart to determine the first-level lithology classification identification result corresponding to the marl to be identified. The first-level lithology identification chart is a chart for identifying four major types of lithologies: dolomite, salt rock, gypsum rock and marl;

[0007] Determine the second-level lithology identification chart corresponding to the first-level lithology classification identification result;

[0008] Use the second-level lithology identification chart to determine the second-level lithology classification identification result corresponding to the marl to be identified.

[0009] According to another aspect of the present invention, there is provided a device for identifying the lithology of complex marl in lagoon facies, which is configured in a device for identifying the lithology of complex marl in lagoon facies. The device for identifying the lithology of complex marl in lagoon facies is arranged at a well site and / or a base data center. The device includes:

[0010] The object determination module is used to determine the marl to be identified, wherein the marl to be identified is the lagoon phase complex marl;

[0011] The first level identification result determination module is used to determine the first level lithology classification identification result corresponding to the to-be-identified marlstone by using the first level lithology identification plate, wherein the first level lithology identification plate is a plate for identifying four major types of lithology: dolomite, salt rock, gypsum rock and marl;

[0012] The second level plate determination module is used to determine the second level lithology identification plate corresponding to the first level lithology classification and identification result;

[0013] The second level identification result determination module is used to determine the second level lithology classification identification result corresponding to the to-be-identified marlstone using the second level lithology identification plate.

[0014] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0015] At least one processor; and

[0016] A memory communicatively connected to the at least one processor; wherein,

[0017] The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the lithology identification method of the lagoon facies complex marlstone described in any embodiment of the present invention.

[0018] According to another aspect of the present invention, a computer-readable storage medium is provided, wherein the computer-readable storage medium stores computer instructions, and the computer instructions are used to implement the lithology identification method of lagoon-facies complex marlstone described in any embodiment of the present invention when executed by a processor.

[0019] The technical solution of the embodiment of the present invention solves the problem of identifying the lithology of complex lagoon-facies marlstone in the prior art by establishing the first-level and second-level lithology identification plates to identify the lithology of the complex lagoon-facies marlstone to be tested, provides an important basis for judging the subsequent oil and gas exploration and development of the complex lagoon-facies marlstone reservoir, and improves the accuracy of identifying reservoir lithology and oil and gas recognition.

[0020] It should be understood that the contents described in this section are not intended to identify the key or important features of the embodiments of the present invention, nor are they intended to limit the scope of the present invention. Other features of the present invention will become easily understood through the following description. Brief Description of the Figures

[0021] ​To more clearly illustrate the technical solutions in the embodiments of the present invention, the following will briefly introduce the drawings required for the description of the embodiments. Obviously, the drawings in the following description are only some embodiments of the present invention. For those of ordinary skill in the art, without creative efforts, other drawings can be obtained based on these drawings.

[0022] Figure 1 is a flowchart of a method for identifying the lithology of complex marl in lagoon facies provided according to an embodiment of the present invention;

[0023] Figure 2 is a flowchart of a method for identifying the lithology of complex marl in lagoon facies applicable to an embodiment of the present invention;

[0024] Figure 3a is a lithology identification chart of the first-level two-dimensional feature group CNL-DEN (compensated neutron-density logging) provided according to an embodiment of the present invention;

[0025] Figure 3b is a lithology identification chart of the first-level two-dimensional feature group GR-DEN (natural gamma-ray-density logging) provided according to an embodiment of the present invention;

[0026] Figure 3c is a lithology identification chart of the first-level two-dimensional feature group AC-DEN (acoustic logging-density logging) provided according to an embodiment of the present invention;

[0027] Figure 3d is a lithology identification chart of the first-level two-dimensional feature group RT-DEN (resistivity-density logging) provided according to an embodiment of the present invention;

[0028] Figure 4 is a lithology identification chart of the first-level three-dimensional feature group GR-DEN-RT (natural gamma-ray-density logging-resistivity) provided according to an embodiment of the present invention;

[0029] Figure 5a is a lithology identification chart of the second-level two-dimensional feature group GR-RT (natural gamma-ray-resistivity) provided according to an embodiment of the present invention;

[0030] Figure 5b is a lithology identification chart of the second-level two-dimensional feature group CNL-RT (compensated neutron-resistivity) provided according to an embodiment of the present invention;

[0031] Figure 5c is a lithology identification chart of the second-level two-dimensional feature group GR-CNL (natural gamma-ray-compensated neutron) provided according to an embodiment of the present invention;

[0032] Figure 6It is a lithology identification chart of the second-level three-dimensional feature group GR-CNL-RT (natural gamma-compensated neutron-resistivity) provided by an embodiment of the present invention;

[0033] Figure 7 It is a schematic structural diagram of a lagoon facies complex marl lithology identification device provided by an embodiment of the present invention;

[0034] Figure 8 It is a schematic structural diagram of an electronic device for implementing the lagoon facies complex marl lithology identification method of an embodiment of the present invention. Detailed implementation manners

[0035] In order to enable those skilled in the art to better understand the solution of the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention. Obviously, the described embodiments are only a part of the embodiments of the present invention, rather than all the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those of ordinary skill in the art without creative efforts shall fall within the protection scope of the present invention.

[0036] It should be noted that the terms "first", "second", etc. in the specification and claims of the present invention and the above-mentioned drawings are used to distinguish similar objects, and do not necessarily need to describe a specific order or sequence. It should be understood that such data can be interchanged under appropriate circumstances so that the embodiments of the present invention described herein can be implemented in an order other than those illustrated or described herein. In addition, the terms "comprising" and "having" and any variations thereof are intended to cover non-exclusive inclusion. For example, a process, method, system, product or device comprising a series of steps or units does not necessarily have to be limited to those steps or units clearly listed, but may include other steps or units not clearly listed or inherent to these processes, methods, products or devices.

[0037] Figure 1 This is a flowchart of a lagoon facies complex marl lithology identification method provided by an embodiment of the present invention. This embodiment is applicable to the situation of lagoon facies complex marl lithology identification. This method can be executed by a lagoon facies complex marl lithology identification device, which can be implemented in the form of hardware and / or software, and the lagoon facies complex marl lithology identification device can be configured in any electronic device with network communication function. As Figure 1 shown, the method includes:

[0038] S110. Determine the marl to be identified, and the marl to be identified is lagoon facies complex marl.

[0039] In the embodiments of the present application, a lagoon refers to a local sea water area at the edge of the sea, where sea water is separated from the open sea by a spit, a sandbar or coral. Lagoonal facies are sediments formed in a lagoon environment. Marlstone is a transitional type of rock between carbonate rock and clay rock.

[0040] S120. Use the first-level lithology identification chart to determine the first-level lithology classification and identification result corresponding to the marlstone to be identified. The first-level lithology identification chart is a chart for identifying four major types of lithologies: dolomite, salt rock, anhydrite rock and marlstone.

[0041] In the embodiments of the present application, it should be noted that the lithology identification chart can distinguish the lithology of rocks according to various parameters. The first-level lithology identification chart can identify four major lithologies, namely dolomite, salt rock, anhydrite rock and marlstone.

[0042] Dolomite is a sedimentary carbonate rock mainly composed of dolomite, often mixed with quartz, feldspar, calcite and clay minerals, showing grayish white, brittle, with a high hardness and easy to scratch with an iron tool.

[0043] Salt rock is a rock of purely chemical origin, formed by the precipitation of evaporating sea water or lake action, mainly composed of halides and sulfate minerals of potassium, sodium, calcium and magnesium. Common mineral components include gypsum, anhydrite, rock salt, potassium salt, carnallite, etc.

[0044] Anhydrite rock is mostly the diagenetic product of sediments in a highly concentrated sea water environment, with the main component being anhydrite, showing dark gray, and the rock is entirely composed of anhydrite crystals.

[0045] Marlstone is a transitional type of rock between carbonate rock and clay rock. It is composed of clay particles and carbonate particles (>50%), showing a fine-grained or muddy structure, generally with a particle size of less than 0.01 mm. It is often distributed in the transitional zone between limestone and clay rock, sandwiched between thin layers of limestone or clay rock, and occurs in thin layers or lenticular shapes.

[0046] As an optional but non-limiting implementation manner, using the first-level lithology identification chart to determine the first-level lithology classification and identification result corresponding to the marlstone to be identified includes steps A1 - A2:

[0047] Step A1. Normalize the lithology characteristics of each candidate lagoonal facies complex marlstone recorded in the logging data using sensitive logging curves of different lithologies.

[0048] In the embodiments of the present application, it should be noted that the lithology logging sensitive curves identify several main influencing curves according to the influence of different logging curves on lithology. The main influencing sensitive curves are the natural gamma ray GR sensitive curve, the compensated neutron CNL sensitive curve, the resistivity RT sensitive curve, the density logging DEN sensitive curve, and the acoustic logging AC sensitive curve.

[0049] Among them, normalizing the lithology characteristics of the candidate lagoon facies complex marl means summarizing and unifying the logging data of each well of the lagoon facies complex marl based on different logging backgrounds and logging technologies in the logging data, so as to facilitate comparison.

[0050] Step A2: Establish a first-level lithology identification chart for identifying and classifying different lithology classifications according to the lithology characteristics of each candidate lagoon facies complex marl. The first-level lithology identification chart is used to record the corresponding relationship between various lithology characteristics corresponding to different lithology classifications. The various lithology characteristics include natural gamma ray GR, resistivity RT, compensated neutron CNL, density logging DEN, and acoustic logging AC.

[0051] In the embodiments of the present application, see Figure 2 shows a schematic flow chart of a multi-level lithology identification method for lagoon facies complex marl based on logging data. According to the obtained logging data of the lagoon facies complex marl, a first-level lithology identification chart is established to identify different four major lithology classifications. The first-level lithology identification chart is used to record the corresponding relationship between various lithology characteristics corresponding to different lithology classifications. The various lithology characteristics include natural gamma ray GR, resistivity RT, compensated neutron CNL, density logging DEN, and acoustic logging AC.

[0052] As an optional but non-limiting implementation manner, the first-level lithology identification chart is used to record the corresponding relationship between various lithology characteristics corresponding to different lithology classifications, including the following two steps A21-A22:

[0053] Step A21: The first-level lithology identification chart includes a two-dimensional first-level lithology identification chart, and the two-dimensional first-level lithology identification chart is used to describe the corresponding relationship between different lithology classifications and at least one two-dimensional lithology characteristic group. The at least one two-dimensional lithology characteristic group includes a two-dimensional lithology characteristic group composed of compensated neutron CNL and density logging DEN, a two-dimensional lithology characteristic group composed of natural gamma ray GR and density logging DEN, a two-dimensional lithology characteristic group composed of acoustic logging AC and density logging DEN, and a two-dimensional lithology characteristic group composed of resistivity RT and density logging DEN.

[0054] In the embodiments of the present application, see Figure 3a 、 3b, 3c and 3d show the two-dimensional first-level lithology identification chart. Each two-dimensional first-level identification chart contains the relationship between a two-dimensional feature group, and any one of the two-dimensional feature groups contains the relationship between two feature-sensitive curves.

[0055] It should be noted that Figure 3a shows the first-level two-dimensional feature group CNL-DEN (compensated neutron-density logging) lithology identification chart.

[0056] Figure 3b shows the first-level two-dimensional feature group GR-DEN (natural gamma-density logging) lithology identification chart.

[0057] Figure 3c shows the first-level two-dimensional feature group AC-DEN (acoustic logging-density logging) lithology identification chart.

[0058] Figure 3d shows the first-level two-dimensional feature group RT-DEN (resistivity-density logging) lithology identification chart.

[0059] Step A22, the first-level lithology identification chart includes a three-dimensional first-level lithology identification chart. The two-dimensional first-level lithology identification chart is used to describe the corresponding relationship between different lithology classifications and at least one three-dimensional lithology feature group. The at least one three-dimensional lithology feature group includes a three-dimensional lithology feature group composed of natural gamma GR, density logging DEN, and resistivity RT, a three-dimensional lithology feature group composed of natural gamma GR, acoustic logging AC, and resistivity RT, and a three-dimensional lithology feature group composed of natural gamma GR, compensated neutron CNL, and resistivity RT.

[0060] In the embodiments of the present application, each three-dimensional first-level identification chart contains the relationship between a three-dimensional feature group, and any one of the three-dimensional feature groups contains the relationship between three feature-sensitive curves. The at least one three-dimensional lithology feature group includes the GR-DEN-RT (natural gamma-density logging-resistivity) three-dimensional lithology feature group, the GR-AC-RT (natural gamma-acoustic logging-resistivity) three-dimensional lithology feature group, and the GR-CNL-RT (natural gamma-compensated neutron-resistivity) three-dimensional lithology feature group.

[0061] See Figure 4 shows the first-level lithology identification chart of the three-dimensional feature group GR-DEN-RT (natural gamma-density logging-resistivity). Figure 4The point set in area A represents the sensitive interval of the three-dimensional feature group GR-DEN-RT (natural gamma - density logging - resistivity) of salt rock lithology. The point set in area B represents the sensitive interval of the three-dimensional feature group GR-DEN-RT (natural gamma - density logging - resistivity) of gypsum rock lithology. The point set in area C represents the sensitive interval of the three-dimensional feature group GR-DEN-RT (natural gamma - density logging - resistivity) of marl lithology.

[0062] As an optional but non-limiting implementation, the first-level lithology identification chart is a chart for identifying four major types of lithologies: dolomite, salt rock, gypsum rock, and marl, including steps B1 - B4:

[0063] Step B1, the lithology characteristics of the dolomite satisfy the following characteristic conditions: the natural gamma GR is lower than the preset GR lower limit value, the resistivity RT is lower than the preset RT lower limit value, the compensated neutron CNL is higher than the preset CNL upper limit value, the acoustic logging AC is higher than the preset AC upper limit value, and the difference value between the deep and shallow resistivities is less than the preset difference value.

[0064] Step B2, the lithology characteristics of the salt rock satisfy the following characteristic conditions: the resistivity RT is higher than the preset RT upper limit value, the natural gamma GR is lower than the preset GR lower limit value, and the hole diameter expands.

[0065] Step B3, the lithology characteristics of the gypsum rock satisfy the following characteristic conditions: the resistivity RT is higher than the preset RT upper limit value, the natural gamma GR is lower than the preset GR lower limit value, the density logging DEN is lower than the preset DEN lower limit value, the acoustic logging AC is higher than the preset AC upper limit value, and the compensated neutron CNL is higher than the preset CNL upper limit value.

[0066] Step B4, the lithology characteristics of the marl satisfy the following characteristic conditions: the natural gamma GR is higher than the preset GR lower limit value, the density logging DEN is lower than the preset DEN upper limit value, and the resistivity RT is lower than the preset RT upper limit value.

[0067] In the embodiments of the present application, referring to Figure 3a 、 3b 、3c, 3d, a two-dimensional first-level lithology identification chart is shown. In each figure, the diamond-shaped area represents the sensitive interval of the two-dimensional feature group of salt rock lithology, the square area represents the sensitive interval of the two-dimensional feature group of gypsum rock lithology, and the triangular area represents the sensitive interval of the two-dimensional feature group of marl lithology.

[0068] S130. Determine the second-level lithology identification chart corresponding to the first-level lithology classification and identification result.

[0069] In the embodiments of the present application, the four lithology results of dolomite, halite, anhydrite or marlstone to which the lithology of the lagoon facies complex marlstone to be measured belongs are determined through the sensitive intervals of the feature groups of the first-level two-dimensional and three-dimensional identification plates. According to the first-level lithology identification result, the corresponding second-level lithology identification steps are adopted.

[0070] See Figure 2 , it should be noted that when the first-level lithology identification result is dolomite, halite or anhydrite, it is determined that the lithology of the lagoon facies sedimentary rock to be measured is the corresponding dolomite, halite or anhydrite. When the first-level lithology identification result is marlstone, the second-level lithology identification plate is used to identify the four sub-types of marlstone lithology. The four sub-types of marlstone lithology are muddy marlstone, argillaceous limestone, calcareous mudstone and gypsum-bearing argillaceous limestone.

[0071] S140. Use the second-level lithology identification plate to determine the second-level lithology classification identification result corresponding to the marlstone to be identified.

[0072] In the embodiments of the present application, it should be noted that the second-level lithology identification plate can distinguish the marlstone lithology according to various parameters. The second-level lithology identification plate can identify the four sub-types of lithology, namely muddy marlstone, argillaceous limestone, calcareous mudstone and gypsum-bearing argillaceous limestone.

[0073] As an optional but non-limiting implementation manner, determining the second-level lithology identification plate corresponding to the first-level lithology classification identification result includes:

[0074] When the first-level lithology classification identification result is marlstone, the second-level lithology identification plate is a plate for identifying the four sub-types of lithology, namely muddy marlstone, argillaceous limestone, calcareous mudstone and gypsum-bearing argillaceous limestone.

[0075] In the embodiments of the present application, when the first-level lithology identification result is marlstone, the second-level marlstone lithology identification result of the second-level lithology identification plate is determined.

[0076] As an optional but non-limiting implementation manner, the second-level lithology identification plate is a plate for identifying the four sub-types of lithology, namely muddy marlstone, argillaceous limestone, calcareous mudstone and gypsum-bearing argillaceous limestone, including steps C1-C2:

[0077] Step C1. The second-level lithology identification plate includes a two-dimensional second-level lithology identification plate, and the two-dimensional second-level lithology identification plate is used to describe the corresponding relationship between different lithology classifications and at least one two-dimensional lithology feature group. The at least one two-dimensional lithology feature group includes a two-dimensional lithology feature group composed of natural gamma ray GR and resistivity RT, a two-dimensional lithology feature group composed of compensated neutron CNL and resistivity RT, and a two-dimensional lithology feature group composed of natural gamma ray GR and compensated neutron CNL.

[0078] In the embodiments of the present application, refer to Figure 5a , 5b , 5c shows the two-dimensional second-level lithology identification chart. Each two-dimensional second-level identification chart includes the relationship between a two-dimensional feature group, and any one of the two-dimensional feature groups includes the relationship between two sensitive features.

[0079] It should be noted that Figure 5a shows the second-level two-dimensional feature group GR-RT (natural gamma-ray - resistivity) lithology identification chart.

[0080] Figure 5b shows the second-level two-dimensional feature group CNL-RT (compensated neutron - resistivity) lithology identification chart.

[0081] Figure 5c shows the second-level two-dimensional feature group GR-CNL (natural gamma-ray - compensated neutron) lithology identification chart.

[0082] Step C2, the second-level lithology identification chart includes a three-dimensional second-level lithology identification chart. The two-dimensional second-level lithology identification chart is used to describe the corresponding relationship between different lithology classifications and at least one three-dimensional lithology feature group. The at least one three-dimensional lithology feature group includes a three-dimensional lithology feature group composed of natural gamma-ray GR, density logging DEN, and resistivity RT, a three-dimensional lithology feature group composed of natural gamma-ray GR, acoustic logging AC, and resistivity RT, and a three-dimensional lithology feature group composed of natural gamma-ray GR, compensated neutron CNL, and resistivity RT.

[0083] In the embodiments of the present application, each three-dimensional second-level identification chart includes the relationship between a three-dimensional feature group, and any one of the three-dimensional feature groups includes the relationship between three sensitive features. The at least one three-dimensional lithology feature group includes a GR-DEN-RT (natural gamma-ray - density logging - resistivity) three-dimensional lithology feature group, a GR-AC-RT (natural gamma-ray - acoustic logging - resistivity) three-dimensional lithology feature group, and a GR-CNL-RT (natural gamma-ray - compensated neutron - resistivity) three-dimensional lithology feature group.

[0084] Refer to Figure 6 shows the second-level lithology identification chart of the three-dimensional feature group GR-CNL-RT (natural gamma-ray - compensated neutron - resistivity). Figure 6The point set in area A represents the sensitive interval of the three-dimensional feature group GR-CNL-RT (natural gamma-compensated neutron-resistivity) of the argillaceous limestone lithology. The point set in area B represents the sensitive interval of the three-dimensional feature group GR-CNL-RT (natural gamma-compensated neutron-resistivity) of the marlstone-bearing limestone lithology. The point set in area C represents the sensitive interval of the three-dimensional feature group GR-CNL-RT (natural gamma-compensated neutron-resistivity) of the argillaceous limestone lithology. The point set in area D represents the sensitive interval of the three-dimensional feature group GR-CNL-RT (natural gamma-compensated neutron-resistivity) of the gypsum-bearing argillaceous limestone lithology.

[0085] As an optional but non-limiting implementation, the second-level lithology identification chart is a chart for identifying four sub-types of lithologies, namely marlstone-bearing limestone, argillaceous limestone, argillaceous limestone, and gypsum-bearing argillaceous limestone, and includes steps D1-D4:

[0086] Step D1. The lithological characteristics of the marlstone-bearing limestone in the marlstone satisfy the following characteristic conditions: the natural gamma GR is higher than the preset GR lower limit value and the resistivity RT is higher than the preset RT lower limit value.

[0087] Step D2. The lithological characteristics of the argillaceous limestone in the marlstone satisfy the following characteristic conditions: the natural gamma GR is lower than the preset GR upper limit value and the resistivity RT is lower than the preset RT upper limit value.

[0088] Step D3. The lithological characteristics of the argillaceous limestone in the marlstone satisfy the following characteristic conditions: the natural gamma GR is the highest, the compensated neutron CNL is higher than the preset CNL upper limit value, and the resistivity RT is the lowest.

[0089] Step D4. The lithological characteristics of the gypsum-bearing argillaceous limestone in the marlstone satisfy the following characteristic conditions: the natural gamma GR is higher than the natural gamma GR of the anhydrite and the difference is less than the preset difference, the density log DEN is lower than the density log DEN of the anhydrite and the difference is less than the preset difference, the resistivity RT is lower than the resistivity RT of the anhydrite and the difference is less than the preset difference RT, the natural gamma GR is lower than the natural gamma GR of the argillaceous limestone and the difference is less than the preset difference, the density log DEN is higher than the density log DEN of the argillaceous limestone and the difference is less than the preset difference, and the resistivity RT is higher than the resistivity RT of the argillaceous limestone and the difference is less than the preset difference RT.

[0090] In the embodiments of the present application, refer to Figure 5a 、 5b 、5c show the two-dimensional second-level lithology identification chart. In each figure, the diamond area represents the sensitive interval of the two-dimensional feature group of the argillaceous limestone lithology, the triangle area represents the sensitive interval of the two-dimensional feature group of the marlstone-bearing limestone lithology, the square area represents the sensitive interval of the two-dimensional feature group of the argillaceous limestone lithology, and the cross area represents the sensitive interval of the two-dimensional feature group of the gypsum-bearing argillaceous limestone lithology.

[0091] The present invention discloses a method for identifying the lithology of complex lagoon-facies marlstone. The method comprises: determining the marlstone to be identified, the marlstone to be identified is the lagoon-facies complex marlstone; using the first-level lithology identification plate to determine the first-level lithology classification identification result corresponding to the marlstone to be identified; determining the second-level lithology identification plate corresponding to the first-level lithology classification identification result; using the second-level lithology identification plate to determine the second-level lithology classification identification result corresponding to the marlstone to be identified. The technical solution of the invention of the present application solves the problem of identifying the lithology of complex lagoon-facies marlstone in the prior art by establishing the first-level and second-level lithology identification plates to identify the lithology of the complex lagoon-facies marlstone to be tested, provides an important judgment basis for the subsequent oil and gas exploration and development of the lagoon-facies complex marlstone reservoir, and improves the accuracy of identifying reservoir lithology and oil and gas recognition.

[0092] Figure 7 is a schematic diagram of the structure of a lagoon-facies complex marl lithology identification device provided by an embodiment of the present invention. The device can execute the lagoon-facies complex marl lithology identification method provided by any embodiment of the present application, and has the corresponding functional modules and beneficial effects of the execution method. Figure 7 As shown, the device includes:

[0093] Determine object module 710, used to determine the marl to be identified, wherein the marl to be identified is lagoon phase complex marl;

[0094] The first level identification result determination module 720 is used to determine the first level lithology classification identification result corresponding to the to-be-identified marlstone by using the first level lithology identification chart, wherein the first level lithology identification chart is a chart for identifying four major lithologies: dolomite, salt rock, gypsum rock and marlstone;

[0095] The second level plate determination module 730 is used to determine the second level lithology identification plate corresponding to the first level lithology classification and identification result;

[0096] The second level identification result determination module 740 is used to determine the second level lithology classification identification result corresponding to the to-be-identified marl using the second level lithology identification plate.

[0097] Optionally, the first level recognition result determination module 720 includes:

[0098] Use the sensitive logging curves of different lithologies to normalize the lithological characteristics of each candidate lagoon complex marl recorded in the logging data;

[0099] ​​​According to the lithological characteristics of each candidate lagoonal facies complex marl, a first-level lithology identification chart is established for identifying and classifying different lithological classifications. The first-level lithology identification chart is used to record the corresponding relationships between various lithological characteristics corresponding to different lithological classifications. The various lithological characteristics include natural gamma ray GR, resistivity RT, compensated neutron CNL, density logging DEN, and acoustic logging AC.

[0100] Optionally, the first-level lithology identification chart includes a two-dimensional first-level lithology identification chart, which is used to describe the corresponding relationships between different lithological classifications and at least one two-dimensional lithology characteristic group. The at least one two-dimensional lithology characteristic group includes a two-dimensional lithology characteristic group composed of compensated neutron CNL and density logging DEN, a two-dimensional lithology characteristic group composed of natural gamma ray GR and density logging DEN, a two-dimensional lithology characteristic group composed of acoustic logging AC and density logging DEN, and a two-dimensional lithology characteristic group composed of resistivity RT and density logging DEN; or,

[0101] The first-level lithology identification chart includes a three-dimensional first-level lithology identification chart, which is used to describe the corresponding relationships between different lithological classifications and at least one three-dimensional lithology characteristic group. The at least one three-dimensional lithology characteristic group includes a three-dimensional lithology characteristic group composed of natural gamma ray GR, density logging DEN, and resistivity RT, a three-dimensional lithology characteristic group composed of natural gamma ray GR, acoustic logging AC, and resistivity RT, and a three-dimensional lithology characteristic group composed of natural gamma ray GR, compensated neutron CNL, and resistivity RT.

[0102] Optionally, the lithological characteristics of the dolomite satisfy the following characteristic conditions: the natural gamma ray GR is lower than the preset GR lower limit value, the resistivity RT is lower than the preset RT lower limit value, the compensated neutron CNL is higher than the preset CNL upper limit value, the acoustic logging AC is higher than the preset AC upper limit value, and the difference value between the deep and shallow resistivities is less than the preset difference value;

[0103] The lithological characteristics of the halite satisfy the following characteristic conditions: the resistivity RT is higher than the preset RT upper limit value, the natural gamma ray GR is lower than the preset GR lower limit value, and the hole diameter is enlarged;

[0104] The lithological characteristics of the anhydrite satisfy the following characteristic conditions: the resistivity RT is higher than the preset RT upper limit value, the natural gamma ray GR is lower than the preset GR lower limit value, the density logging DEN is lower than the preset DEN lower limit value, the acoustic logging AC is higher than the preset AC upper limit value, and the compensated neutron CNL is higher than the preset CNL upper limit value;

[0105] The lithological characteristics of the marl satisfy the following characteristic conditions: the natural gamma ray GR is higher than the preset GR lower limit value, the density logging DEN is lower than the preset DEN upper limit value, and the resistivity RT is lower than the preset RT upper limit value.

[0106] Optionally, the second-level lithology identification result determination module 740 includes a second-level lithology identification plate for identifying four sub-types of lithology, namely marlstone, argillaceous limestone, calcareous mudstone, and gypsum-bearing argillaceous limestone, when the first-level lithology classification and identification result is marlstone.

[0107] Optionally, the lithology characteristics of marlstone in the marl meet the following characteristic conditions: the natural gamma ray GR is higher than the preset GR lower limit value and the resistivity RT is higher than the preset RT lower limit value;

[0108] The lithology characteristics of argillaceous limestone in the marl meet the following characteristic conditions: the natural gamma ray GR is lower than the preset GR upper limit value and the resistivity RT is lower than the preset RT upper limit value;

[0109] The lithology characteristics of calcareous mudstone in the marl meet the following characteristic conditions: the natural gamma ray GR is the highest, the compensated neutron CNL is higher than the preset CNL upper limit value, and the resistivity RT is the lowest;

[0110] The lithology characteristics of gypsum-bearing argillaceous limestone in the marl meet the following characteristic conditions: the natural gamma ray GR is higher than the natural gamma ray GR of anhydrite and the difference is less than the preset difference, the density logging DEN is lower than the density logging DEN of anhydrite and the difference is less than the preset difference, the resistivity RT is lower than the resistivity RT of anhydrite and the difference is less than the preset difference RT, the natural gamma ray GR is lower than the natural gamma ray GR of argillaceous limestone and the difference is less than the preset difference, the density logging DEN is higher than the density logging DEN of argillaceous limestone and the difference is less than the preset difference, and the resistivity RT is higher than the resistivity RT of argillaceous limestone and the difference is less than the preset difference RT.

[0111] Optionally, the second-level lithology identification plate includes a two-dimensional second-level lithology identification plate, which is used to describe the correspondence between different lithology classifications and at least one two-dimensional lithology characteristic group. The at least one two-dimensional lithology characteristic group includes a two-dimensional lithology characteristic group composed of natural gamma ray GR and resistivity RT, a two-dimensional lithology characteristic group composed of compensated neutron CNL and resistivity RT, and a two-dimensional lithology characteristic group composed of natural gamma ray GR and compensated neutron CNL; or,

[0112] The second-level lithology identification plate includes a three-dimensional second-level lithology identification plate, which is used to describe the correspondence between different lithology classifications and at least one three-dimensional lithology characteristic group. The at least one three-dimensional lithology characteristic group includes a three-dimensional lithology characteristic group composed of natural gamma ray GR, density logging DEN, and resistivity RT, a three-dimensional lithology characteristic group composed of natural gamma ray GR, acoustic logging AC, and resistivity RT, and a three-dimensional lithology characteristic group composed of natural gamma ray GR, compensated neutron CNL, and resistivity RT.

[0113] In the embodiments of the present invention, the lagoon facies complex marl lithology identification device provided can execute the lagoon facies complex marl lithology identification method provided in any of the above embodiments of the present invention, and has the corresponding functions and beneficial effects for executing the lagoon facies complex marl lithology identification method. For the detailed process, refer to the relevant operations of the lagoon facies complex marl lithology identification method in the foregoing embodiments.

[0114] Figure 8 FIG. shows a schematic structural diagram of an electronic device 10 that can be used to implement embodiments of the present invention. The electronic device is intended to represent various forms of digital computers, such as, for example, a laptop computer, a desktop computer, a workbench, a personal digital assistant, a server, a blade server, a mainframe computer, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as, for example, a personal digital processor, a cellular phone, a smart phone, a wearable device (such as a helmet, glasses, a watch, etc.) and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the present invention described and / or claimed herein.

[0115] As Figure 8 shown, the electronic device 10 includes at least one processor 11, and a memory communicatively connected to the at least one processor 11, such as a read-only memory (ROM) 12, a random access memory (RAM) 13, etc. Among them, the memory stores a computer program executable by the at least one processor. The processor 11 can execute various appropriate actions and processes according to the computer program stored in the read-only memory (ROM) 12 or the computer program loaded from the storage unit 18 into the random access memory (RAM) 13. In the RAM 13, various programs and data required for the operation of the electronic device 10 can also be stored. The processor 11, the ROM 12, and the RAM 13 are connected to each other through a bus 14. The input / output (I / O) interface 15 is also connected to the bus 14.

[0116] A plurality of components in the electronic device 10 are connected to the I / O interface 15, including: an input unit 16, such as a keyboard, a mouse, etc.; an output unit 17, such as various types of displays, speakers, etc.; a storage unit 18, such as a magnetic disk, an optical disk, etc.; and a communication unit 19, such as a network card, a modem, a wireless communication transceiver, etc. The communication unit 19 allows the electronic device 10 to exchange information / data with other devices through a computer network such as the Internet and / or various telecommunication networks.

[0117] The processor 11 may be various general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of the processor 11 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various dedicated artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. The processor 11 executes the various methods and processes described above, such as the method for identifying the lithology of lagoonal facies complex marlstone.

[0118] In some embodiments, the method for identifying the lithology of lagoonal facies complex marlstone may be implemented as a computer program tangibly embodied in a computer-readable storage medium, such as the storage unit 18. In some embodiments, part or all of the computer program may be loaded and / or installed onto the electronic device 10 via the ROM 12 and / or the communication unit 19. When the computer program is loaded into the RAM 13 and executed by the processor 11, one or more steps of the method for identifying the lithology of lagoonal facies complex marlstone described above may be executed. Alternatively, in other embodiments, the processor 11 may be configured to execute the method for identifying the lithology of lagoonal facies complex marlstone by any other suitable means (e.g., by means of firmware).

[0119] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuitry, integrated circuit systems, field-programmable gate arrays (FPGA), application-specific integrated circuits (ASIC), application-specific standard products (ASSP), systems-on-a-chip (SOC), complex programmable logic devices (CPLD), computer hardware, firmware, software, and / or combinations thereof. These various embodiments can include: being implemented in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which can be a special-purpose or general-purpose programmable processor that can receive data and instructions from a storage system, at least one input device, and at least one output device, and transmit the data and instructions to the storage system, the at least one input device, and the at least one output device.

[0120] The computer program for implementing the method of the present invention can be written in any combination of one or more programming languages. These computer programs can be provided to the processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when the computer program is executed by the processor, the functions / operations specified in the flowchart and / or block diagram are implemented. The computer program can be executed entirely on the machine, partially on the machine, as a stand-alone software package partially on the machine and partially on a remote machine, or entirely on a remote machine or server.

[0121] In the context of the present invention, a computer-readable storage medium can be a tangible medium that can contain or store a computer program for use by or in connection with an instruction execution system, apparatus, or device. The computer-readable storage medium can include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination of the foregoing. Alternatively, the computer-readable storage medium can be a machine-readable signal medium. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a random access memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or Flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.

[0122] To provide for interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and a pointing device (e.g., a mouse or a trackball) by which the user can provide input to the electronic device. Other kinds of devices can also be used to provide for interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including acoustic input, voice input, or tactile input).

[0123] The systems and techniques described herein can be implemented in a computing system that includes backend components (e.g., as a data server), or a computing system that includes middleware components (e.g., an application server), or a computing system that includes frontend components (e.g., a user computer having a graphical user interface or a web browser through which the user can interact with an implementation of the systems and techniques described herein), or a computing system that includes any combination of such backend components, middleware components, or frontend components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: a local area network (LAN), a wide area network (WAN), a blockchain network, and the Internet.

[0124] A computing system may include a client and a server. The client and the server are generally far from each other and usually interact via a communication network. The client-server relationship is created by computer programs running on respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or a cloud host, which is a host product in the cloud computing service system, solving the defects of difficult management and weak business scalability existing in traditional physical hosts and VPS services.

[0125] It should be understood that various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in the present invention can be executed in parallel, sequentially, or in a different order, as long as the desired results of the technical solution of the present invention can be achieved, and no limitations are imposed herein.

[0126] The above specific embodiments do not constitute a limitation on the protection scope of the present invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principle of the present invention shall be included within the protection scope of the present invention.

Claims

1. A method for identifying lithology of complex marlstone in lagoon facies, characterized in that: The method comprises: Determining the marl to be identified, wherein the marl to be identified is lagoon-facies complex marl; The first-level lithology identification plate is used to determine the first-level lithology classification identification result corresponding to the to-be-identified marlstone, wherein the first-level lithology identification plate is a plate for identifying four major types of lithology: dolomite, salt rock, gypsum rock and marl; Determine the second-level lithology identification plate corresponding to the first-level lithology classification identification result; The second-level lithology identification plate is used to determine the second-level lithology classification identification result corresponding to the marlstone to be identified.

2. The method according to claim 1, characterized in that The construction process of the first-level lithology identification plate includes: The lithological characteristics of each candidate lagoonal complex marl recorded in the logging data were normalized using sensitive logging curves of different lithologies. According to the lithological characteristics of each candidate lagoon-facies complex marl, a first-level lithological identification plate is established for identifying and dividing different lithological classifications. The first-level lithological identification plate is used to record the corresponding relationship between various lithological characteristics corresponding to different lithological classifications. The various lithological characteristics include natural gamma ray GR, resistivity RT, compensated neutron CNL, density logging DEN and acoustic logging AC.

3. The method according to claim 2, characterized in that The first-level lithology identification plate includes a two-dimensional first-level lithology identification plate, and the two-dimensional first-level lithology identification plate is used to describe the corresponding relationship between different lithology classifications and at least one two-dimensional lithology feature group, and the at least one two-dimensional lithology feature group includes a two-dimensional lithology feature group composed of compensated neutron CNL and density logging DEN, a two-dimensional lithology feature group composed of natural gamma ray GR and density logging DEN, a two-dimensional lithology feature group composed of acoustic logging AC and density logging DEN, and a two-dimensional lithology feature group composed of resistivity RT and density logging DEN; or, The first-level lithology identification plate includes a three-dimensional first-level lithology identification plate, and the two-dimensional first-level lithology identification plate is used to describe the correspondence between different lithology classifications and at least one three-dimensional lithology feature group, and the at least one three-dimensional lithology feature group includes a three-dimensional lithology feature group consisting of natural gamma GR, density logging DEN and resistivity RT, a three-dimensional lithology feature group consisting of natural gamma GR, acoustic logging AC and resistivity RT, and a three-dimensional lithology feature group consisting of natural gamma GR, compensated neutron CNL and resistivity RT.

4. The method according to claim 1, characterized in that: The lithological characteristics of the dolomite meet the following characteristic conditions: the natural gamma GR is lower than the preset GR lower limit, the resistivity RT is lower than the preset RT lower limit, the compensated neutron CNL is higher than the preset CNL upper limit, the sonic logging AC is higher than the preset AC upper limit, and the difference between the deep and shallow resistivities is less than the preset difference value; The lithological characteristics of the salt rock meet the following characteristic conditions: the resistivity RT is higher than the preset RT upper limit value, the natural gamma GR is lower than the preset GR lower limit value, and the wellbore is enlarged; The lithological characteristics of the gypsum rock meet the following characteristic conditions: the resistivity RT is higher than the preset RT upper limit value, the natural gamma GR is lower than the preset GR lower limit value, the density logging DEN is lower than the preset DEN lower limit value, the acoustic logging AC is higher than the preset AC upper limit value, and the compensated neutron CNL is higher than the preset CNL upper limit value; The lithological characteristics of the marl satisfy the following characteristic conditions: the natural gamma GR is higher than a preset GR lower limit value, the density logging DEN is lower than a preset DEN upper limit value, and the resistivity RT is lower than a preset RT upper limit value.

5. The method according to claim 1, characterized in that When the first-level lithology classification identification result is marl, the second-level lithology identification plate is a plate used to identify four sub-types of lithology: marl-containing limestone, muddy limestone, gray mudstone and gypsum-containing mudstone.

6. The method according to claim 5, characterized in that The lithological characteristics of the marl in the marl satisfy the following characteristic conditions: the natural gamma GR is higher than the preset GR lower limit value and the resistivity RT is higher than the preset RT lower limit value; The lithological characteristics of the muddy limestone in the marlstone meet the following characteristic conditions: the natural gamma GR is lower than the preset GR upper limit value and the resistivity RT is lower than the preset RT upper limit value; The lithological characteristics of the gray mudstone in the marlstone meet the following characteristic conditions: the natural gamma GR is the highest, the compensated neutron CNL is higher than the preset CNL upper limit value, and the resistivity RT is the lowest; The lithological characteristics of the gypsum-mud limestone in the marlstone meet the following characteristic conditions: the natural gamma GR is higher than the natural gamma GR of gypsum rock and the difference is less than the preset difference, the density logging DEN is lower than the density logging DEN of gypsum rock and the difference is less than the preset difference, the resistivity RT is lower than the resistivity RT of gypsum rock and the difference is less than the preset difference, the natural gamma GR is lower than the natural gamma GR of mud limestone and the difference is less than the preset difference, the density logging DEN is higher than the density logging DEN of mud limestone and the difference is less than the preset difference, and the resistivity RT is higher than the resistivity RT of mud limestone and the difference is less than the preset difference RT.

7. The method according to claim 5, characterized in that The second-level lithology identification plate includes a two-dimensional second-level lithology identification plate, and the two-dimensional second-level lithology identification plate is used to describe the corresponding relationship between different lithology classifications and at least one two-dimensional lithology feature group, and the at least one two-dimensional lithology feature group includes a two-dimensional lithology feature group composed of natural gamma GR and resistivity RT, a two-dimensional lithology feature group composed of compensated neutron CNL and resistivity RT, and a two-dimensional lithology feature group composed of natural gamma GR and compensated neutron CNL; or, The second-level lithology identification plate includes a three-dimensional second-level lithology identification plate, and the two-dimensional second-level lithology identification plate is used to describe the correspondence between different lithology classifications and at least one three-dimensional lithology feature group, and the at least one three-dimensional lithology feature group includes a three-dimensional lithology feature group consisting of natural gamma GR, density logging DEN and resistivity RT, a three-dimensional lithology feature group consisting of natural gamma GR, acoustic logging AC and resistivity RT, and a three-dimensional lithology feature group consisting of natural gamma GR, compensated neutron CNL and resistivity RT.

8. A lithology identification device for complex marlstone in lagoon phase, characterized in that: include: An object determination module is used to determine the marl to be identified, wherein the marl to be identified is a lagoon-facies complex marl; A first-level identification result determination module, used to determine the first-level lithology classification identification result corresponding to the to-be-identified marlstone by using the first-level lithology identification chart, wherein the first-level lithology identification chart is a chart for identifying four major types of lithology: dolomite, salt rock, gypsum rock and marl; A second-level plate determination module is used to determine a second-level lithology identification plate corresponding to the first-level lithology classification and identification result; The second level identification result determination module is used to determine the second level lithology classification identification result corresponding to the to-be-identified marlstone by using the second level lithology identification plate.

9. An electronic device, characterized in that: The electronic device comprises: at least one processor; and a memory communicatively connected to the at least one processor; wherein, The memory stores a computer program executable by the at least one processor, and the computer program is executed by the at least one processor so that the at least one processor can execute the lagoon-facies complex marlstone lithology identification method according to any one of claims 1 to 7.

10. A computer-readable storage medium, characterized in that: The computer-readable storage medium stores computer instructions, and the computer instructions are used to enable a processor to implement the lagoon-facies complex marlstone lithology identification method described in any one of claims 1-7 when executed.

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