CN112180467A - River channel microphase carving method for conglomerate oil reservoir - Google Patents
River channel microphase carving method for conglomerate oil reservoir Download PDFInfo
- Publication number
- CN112180467A CN112180467A CN202011217243.2A CN202011217243A CN112180467A CN 112180467 A CN112180467 A CN 112180467A CN 202011217243 A CN202011217243 A CN 202011217243A CN 112180467 A CN112180467 A CN 112180467A
- Authority
- CN
- China
- Prior art keywords
- sand
- logging
- microfacies
- river
- microphase
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01V—GEOPHYSICS; GRAVITATIONAL MEASUREMENTS; DETECTING MASSES OR OBJECTS; TAGS
- G01V11/00—Prospecting or detecting by methods combining techniques covered by two or more of main groups G01V1/00 - G01V9/00
Landscapes
- Physics & Mathematics (AREA)
- Life Sciences & Earth Sciences (AREA)
- General Life Sciences & Earth Sciences (AREA)
- General Physics & Mathematics (AREA)
- Geophysics (AREA)
- Geophysics And Detection Of Objects (AREA)
Abstract
The invention relates to a river channel microphase depicting method of a glutenite reservoir, which comprises the following steps: determining a deposition system of a target area, and further determining a deposition microphase type and a logging microphase type; counting the thickness of the sand body of different single layers of the drilled well in the target area, and compiling a sand body thickness contour map by utilizing an interpolation method; counting sand area ratio values of different single-layer wells drilled in the target area, and compiling a sand area ratio contour map by utilizing an interpolation method; the sand area ratio value is the ratio of the sand thickness to the stratum thickness; establishing a corresponding relation between logging phases of different single-layer sedimentary microfacies and geological phases to obtain a logging phase diagram; and overlapping the sand body thickness contour map, the sand ground ratio contour map and the logging phase map to obtain the plane spread of each single-layer river channel microfacies. The beneficial effects of the invention are as follows: the sand body thickness contour map, the sand ground ratio contour map and the logging phase plane distribution map are superposed to comprehensively depict the river microfacies, so that the accuracy of the depicting is greatly improved.
Description
Technical Field
The invention relates to the technical field of oil exploration, in particular to a river channel microphase characterization method of a conglomerate oil reservoir.
Background
The glutenite reservoir generally has the characteristics of fast reservoir lithology change, large physical property change and strong reservoir heterogeneity, and the effective reservoir identification is difficult. Production practices show that the physical property of the micro-phase reservoir of the river channel is good, the oil accumulation of a single well is high, and the development effect is good. Therefore, under the current low oil price, the beneficial region is determined as early as possible aiming at the conglomerate oil reservoir, the working efficiency can be improved, and the foundation is laid for oil extraction in stable yield of the oil field.
There are also many studies on the characterization of river microfacies, and the traditional technical means are considered from a single factor: and (4) on the basis of the sand thickness map, combining a logging phase map and depicting a sedimentary phase map. The traditional method is not accurate enough for describing the deposition microphase.
Disclosure of Invention
An object of the application is to provide a river course microfacies depicting method of a glutenite reservoir, which is used for solving the problem that the prior art does not depict the sedimentary microfacies accurately enough.
In order to realize the purpose, the invention provides a river channel microphase characterization method of a glutenite reservoir, which comprises the following steps:
determining a sedimentary system of a target area, further determining a sedimentary microfacies type and a logging facies type, and establishing a corresponding relation between the logging facies and geological facies of different sedimentary microfacies of a target interval by using a logging facies curve;
counting the thickness of the sand body of different single layers of the drilled well in the target area, and compiling a sand body thickness contour map by utilizing an interpolation method;
counting sand area ratio values of different single-layer wells drilled in the target area, and compiling a sand area ratio contour map by utilizing an interpolation method; the sand area ratio value is the ratio of the sand thickness to the stratum thickness;
selecting a natural potential and a natural gamma logging curve, and establishing a corresponding relation between logging phases of different single-layer sedimentary microfacies and geological phases to obtain a logging phase diagram;
overlapping the sand body thickness contour map, the sand ground ratio contour map and the logging facies map, mainly taking the logging facies, and judging as the river channel if the sand body thickness value and the sand ground ratio value are larger than corresponding thresholds; and obtaining the plane spread of each single-layer river channel microphase.
Further, the method also comprises a step of verifying through dynamic data, which comprises the following steps: and counting whether the yield of new wells deployed in the river channel in the target area is greater than 5 t.
Further, a target area sedimentation system is determined through core observation, analysis and assay data analysis and seismic characteristic research.
And further, identifying the sedimentary microfacies type of the target area according to the sedimentology observation of the core well of the target area.
Furthermore, the logging phase of the river channel microphase comprises a box type and a bell type.
Further, the threshold value of the sand thickness value is 6 m.
Further, the threshold value of the sand ratio value is 60%.
The beneficial effects of the invention are as follows: the sand body thickness contour map, the sand ground ratio contour map and the logging phase plane distribution map are superposed to comprehensively depict the river microfacies, so that the accuracy of the depicting is greatly improved.
Further, whether the yield of new wells deployed in the river channel in the target area is greater than 5t or not is counted, and the drawing is verified.
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a contour map of the thickness of sand in the lower strata of a certain oil field according to example 1 of the present invention;
FIG. 3 is a contour map of the sand ratio of the lower strata of a certain oil field according to example 1 of the present invention;
FIG. 4 is a diagram of the identification of the logging facies plane of the lower strata of a certain oil field in accordance with embodiment 1 of the present invention;
FIG. 5 is a schematic view of a bottom layer of an oil field according to example 1 of the present invention;
FIG. 6 is a schematic view of the planar layout of the lower layer deposited microphase of a field according to example 1 of the present invention.
Detailed Description
Due to the complexity of the conglomerate reservoir, the reservoir is difficult to identify, favorable facies zones and river microfacies are identified, and the reserve utilization degree can be effectively improved.
The following description is made with reference to examples. A river channel microphase depicting method of a conglomerate oil reservoir comprises the following steps:
determining a sedimentary system, and further determining a sedimentary microfacies type and a logging phase type:
1.1, firstly, determining a sedimentary system, namely determining the sedimentary system of a target area through core observation, analysis and assay data analysis and seismic characteristic research on the basis of the previous research.
For example, for a target interval X in a target zone, core observation shows that the mudstone (or conglomerate) color of the target oil-bearing interval gradually deepens from the boundary fault to the north, and the water depth is reflected by the change of gray-dark gray. The gray and dark gray mudstone has rich organic matter content and is judged to be the result of being in a deep water reducing environment for a long time, so that the main body of the target area is positioned in the background environment of a deep lake, the mudstone is gray only near the boundary fault, the content of the organic matter is less, and the water body is light.
In analyzing the assay data, the discrimination is performed by using the discrimination function provided by the prior art, for example, the discrimination function of the river and the turbid flow is used to calculate the rock Y value to determine whether the river or the turbid flow is present. And when Y is greater than 9.8433, it is a river (delta). When Y is less than 9.8433, it is a turbidity current. The Y value of the rock calculated for the target area averaged 5.91 and was less than 9.8433 for all samples. Thus, formation of reservoir rock in the target zone is carried and deposited in a turbulent flow.
Seismic data indicate that the target zone reflections are characterized by overall seismic stratigraphic features that are poorly continuous, varying amplitude, or chaotic reflection hilly phases. According to the seismic reflection characteristics, a fan root, a fan middle and a fan end can be further divided on the wedge-shaped section. The fan root reflecting layer is unclean, has no obvious wave impedance interface, and is characterized by weak reflection, no reflection or disordered reflection; the fan mid-reflection has an obvious wave impedance interface and is characterized by medium to strong amplitude-variable sub-parallel reflection; the fan end is characterized by continuous reflection at medium to high frequencies and medium to low amplitudes.
As can be seen, the deposition system of the target interval X in the target area is determined to be a near-shore underwater fan.
1.2, after a target area deposition system is determined, a large deposition background can be defined, and then the deposition microphase type is further determined. Identifying a target zone depositional microphase type (including depositional subphases) from a sedimentary observation of the core of the target zone cored well.
For a target interval X in a certain target area, referring to a previous classification and identification mark of underwater fan sedimentary microfacies by a person, and combining core observation of a core well of a target area, the underwater fan sedimentary microfacies of the target area are considered to have the following 8 sedimentary microfacies types: debris flow, river channels, river channel rooms, estuary dams, breach fans, river channel side edges, fan middle front edges and fan end lake facies. Wherein the river micro-phase mainly consists of glutenite, and the thickness of the glutenite is generally 6-8 m. The lithology is a set of conglomerate and glutenite with variegated mudstone, and the lithology has obvious positive rhythm characteristic, and the bottom can be seen with a washing surface. The most important characteristic of the river channel microphase is that the river channel microphase has positive graded stratification, namely that the diameter of sand grains is reduced from the bottom to the top.
1.3, finally determining the logging phase type: each corresponding depositional microphase has its specific logging phase. After the deposition microphase type is determined, the distribution of the logging phase on each single-layer plane in the longitudinal direction can be determined, and then the distribution of the deposition microphase on the plane is sketched. And establishing a corresponding relation between the logging phase and the geological phase of different sedimentary microfacies of the target interval by using the logging curve.
The logging phase of the river channel microphase is box type and bell type.
Box type: box-shaped presents two patterns. The first pattern is: the whole curve is smooth, the top and the bottom are in abrupt contact, and the logging response characteristic that the mud content is relatively low and the mud content often represents the deposition environment of the braided main river channel is reflected. The second mode is a type with sudden or gradual change of the top and the bottom and serious tooth formation, and reflects the logging response characteristic of a debris flow deposition environment at the root of a fan, wherein the mud content is high and the mud content often represents the debris flow deposition environment.
A bell shape: there are also two styles. The first pattern is: the curve is smooth, the curve form is abrupt change or gradual change, the bottom of the curve form is abrupt change, the top is gradual change, and the shape is bell-shaped. The bottom development slightly scours the surface, and the muddy bottom conglomerate develops and mainly represents a fan middle branch river channel. The second type is that the top of the curve shape is suddenly changed or gradually changed, the curve is bell-shaped, the curve is seriously indented, and multiple layers can be overlapped to form a thicker sequence, the thicker sequence is often developed in a branch river channel at the front edge of the fan, and the indented reason is mainly caused by low water flow energy, quick change and high mud content in sand shale.
2, depositing phase engraving:
2.1, counting the thickness of the sand body of different single layers of the drilled well in the target area, and compiling a sand body thickness contour map by using an interpolation method, as shown in figure 2.
2.2, counting the ratio of the sand body thickness to the stratum thickness of different single layers of the well drilled in the target area, namely a sand ground ratio value, and compiling a sand ground ratio contour map by utilizing an interpolation method; as shown in fig. 3.
2.3, selecting a natural potential and a natural gamma logging curve, establishing a corresponding relation between logging phases and geological phases of different single-layer sedimentary microfacies (including sedimentary subphases), and defining a box type and a bell type as a river channel; as shown in fig. 4.
2.4, overlapping the sand body thickness contour map, the sand ground ratio contour map and the logging facies map, mainly taking a logging facies, and determining the river channel when the sand body thickness value and the sand ground ratio value are larger than corresponding threshold values; as shown in fig. 5. Namely a riverway geological facies (box type or bell type) with a logging facies, wherein the riverway is provided with a sand thickness value of more than 6m and a sand-to-land ratio value of more than 60%. 6m, 60% are defined corresponding thresholds, which can be determined from the actual study of step 1.
After the above steps are completed, the planar spreading of each single-layer river microfacies can be sketched, as shown in fig. 6.
And 3, then, verifying through the dynamic data, wherein the specific mode is as follows: and counting whether the yield of new wells deployed in the river channel in the target area is greater than 5 t. Under the guidance of the programmed sedimentary microfacies, a new well a is deployed at the river site. The well A is put into an H2 II 11 layer at the initial stage, and the daily oil production is 11.8t, so that a better effect is achieved. Therefore, the description result of the sedimentary microfacies is consistent with the dynamic data, and can guide the deployment of the next scheme, namely preferentially deploying the well position at the river channel.
The whole flow is shown in figure 1.
Claims (7)
1. A river channel microphase depicting method of a conglomerate oil reservoir is characterized by comprising the following steps:
determining a sedimentary system of a target area, further determining a sedimentary microfacies type and a logging facies type, and establishing a corresponding relation between the logging facies and geological facies of different sedimentary microfacies of a target interval by using a logging facies curve;
counting the thickness of the sand body of different single layers of the drilled well in the target area, and compiling a sand body thickness contour map by utilizing an interpolation method;
counting sand area ratio values of different single-layer wells drilled in the target area, and compiling a sand area ratio contour map by utilizing an interpolation method; the sand area ratio value is the ratio of the sand thickness to the stratum thickness;
selecting a natural potential and a natural gamma logging curve, and establishing a corresponding relation between logging phases of different single-layer sedimentary microfacies and geological phases to obtain a logging phase diagram;
overlapping the sand body thickness contour map, the sand ground ratio contour map and the logging facies map, mainly taking the logging facies, and judging as the river channel if the sand body thickness value and the sand ground ratio value are larger than corresponding thresholds; and obtaining the plane spread of each single-layer river channel microphase.
2. The method of claim 1, further comprising the step of validating through dynamic data, comprising: and counting whether the yield of new wells deployed in the river channel in the target area is greater than 5 t.
3. The method for river microphase characterization of a conglomerate reservoir according to claim 1 or 2, wherein the target zone sedimentary system is determined by core observation, analytical assay data analysis and seismic signature studies.
4. A method for river microfacies characterization of a glutenite reservoir as claimed in claim 1 or claim 2 wherein the type of sedimentary microfacies of the target zone is identified based on sedimentary observations of core of a cored well of the target zone.
5. A method of river microfacies characterization of a glutenite reservoir as claimed in claim 1 or claim 2 wherein the log facies of the river microfacies include box and bell type.
6. A method for river microphase characterization of a conglomerate reservoir according to claim 1 or 2, characterized in that the threshold value for the sand body thickness value is 6 m.
7. A method for river microfacies characterization of a glutenite reservoir according to claim 1 or claim 2, wherein the threshold sand fraction value is 60%.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011217243.2A CN112180467A (en) | 2020-11-04 | 2020-11-04 | River channel microphase carving method for conglomerate oil reservoir |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011217243.2A CN112180467A (en) | 2020-11-04 | 2020-11-04 | River channel microphase carving method for conglomerate oil reservoir |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN112180467A true CN112180467A (en) | 2021-01-05 |
Family
ID=73917124
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011217243.2A Pending CN112180467A (en) | 2020-11-04 | 2020-11-04 | River channel microphase carving method for conglomerate oil reservoir |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112180467A (en) |
Cited By (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113738329A (en) * | 2021-09-28 | 2021-12-03 | 中国石油化工股份有限公司 | Method for exploiting offshore underwater fan oil reservoir |
Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106468653A (en) * | 2015-08-18 | 2017-03-01 | 中国石油天然气股份有限公司 | Method for judging clastic rock deposition microphase type |
| CN108008466A (en) * | 2017-11-07 | 2018-05-08 | 中国石油天然气股份有限公司 | Composite river sedimentation period subspace analysis method based on sand-land ratio |
| CN110412649A (en) * | 2019-06-17 | 2019-11-05 | 中国石油化工股份有限公司 | A kind of recognition methods of list phase distributary channel |
| US20200088896A1 (en) * | 2018-09-14 | 2020-03-19 | Exxonmobil Upstream Research Company | Reservoir Characterization Utilizing ReSampled Seismic Data |
-
2020
- 2020-11-04 CN CN202011217243.2A patent/CN112180467A/en active Pending
Patent Citations (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN106468653A (en) * | 2015-08-18 | 2017-03-01 | 中国石油天然气股份有限公司 | Method for judging clastic rock deposition microphase type |
| CN108008466A (en) * | 2017-11-07 | 2018-05-08 | 中国石油天然气股份有限公司 | Composite river sedimentation period subspace analysis method based on sand-land ratio |
| US20200088896A1 (en) * | 2018-09-14 | 2020-03-19 | Exxonmobil Upstream Research Company | Reservoir Characterization Utilizing ReSampled Seismic Data |
| CN110412649A (en) * | 2019-06-17 | 2019-11-05 | 中国石油化工股份有限公司 | A kind of recognition methods of list phase distributary channel |
Non-Patent Citations (2)
| Title |
|---|
| 孙靖等: "准噶尔盆地西北缘八二区三叠系克下组沉积相研究", 《新疆地质》 * |
| 王涛等: "《渤海盆地油气藏形成富集与分布预测》", 31 December 2016, 北京：地质出版社 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113738329A (en) * | 2021-09-28 | 2021-12-03 | 中国石油化工股份有限公司 | Method for exploiting offshore underwater fan oil reservoir |
| CN113738329B (en) * | 2021-09-28 | 2023-08-11 | 中国石油化工股份有限公司 | Exploitation method of offshore underwater fan oil reservoir |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN111257926B (en) | Method for predicting ancient valley uranium reservoir by using old seismic data | |
| CN105445800A (en) | Thick sand body top differentiation lithologic reservoir identification method | |
| Eberli et al. | Seismic Imaging of Carbonate Reservoirs and Systems: AAPG Memoir 81 | |
| Maselli et al. | Large-scale single incised valley from a small catchment basin on the western Adriatic margin (central Mediterranean Sea) | |
| CN109541685B (en) | River channel sand body identification method | |
| CN105372703A (en) | River channel sand body fine-identification method | |
| CN104698497A (en) | Method for fine calibration of position of sand shale thin interbed | |
| CN110275210A (en) | A kind of recognition methods of the sedimentary micro facies model of carbonate rock high frequency sequence screen work | |
| CN105372709B (en) | Method for identifying lithologic trap by using seismic data | |
| KR101853334B1 (en) | Method for predicting exploitation site of unconventional resources applied to sequence stratigraphic analysis | |
| CN105093306A (en) | Method for automatic interpretation and thickness calculation of reservoir in geophysical exploration | |
| Meckel et al. | Use of novel high-resolution 3D marine seismic technology to evaluate Quaternary fluvial valley development and geologic controls on shallow gas distribution, inner shelf, Gulf of Mexico | |
| CN106353806B (en) | It is a kind of to detect the connective method of reef reservoir | |
| Karstens et al. | Deep-seated focused fluid migration as indicator for hydrocarbon leads in the East Shetland Platform, North Sea Province | |
| CN106371139B (en) | A kind of method and device using interval amplitude attribute identification lithological pool | |
| Parvin et al. | Petroleum prospect analysis and new gas horizon detection at Fenchuganj Gas Field in the Surma Basin, Bangladesh: An application of sequence stratigraphic concept | |
| CN114910964A (en) | Prediction method for gravel rock mass dessert area on steep slope of fractured lake basin | |
| CN112180467A (en) | River channel microphase carving method for conglomerate oil reservoir | |
| CN104977611A (en) | Reef reservoir engraving method | |
| CN112505754B (en) | Method for collaborative partitioning sedimentary microfacies by well-seismic based on high-precision sequence grid model | |
| CN115857047B (en) | Comprehensive prediction method for earthquake reservoir | |
| CN112711069B (en) | Sand point dam prediction method based on plain area curved stream river channel evolution | |
| Bennett et al. | Regional-scale assessment of a sequence-bounding paleosol on fluvial fans using ground-penetrating radar, eastern San Joaquin Valley, California | |
| Flood et al. | Analysis of floodplain sedimentation, avulsion style and channelized fluvial sandbody distribution in an upper coastal plain reservoir: Middle Jurassic Ness Formation, Brent Field, UK North Sea | |
| Nwankwo et al. | Seismic Refraction Investigation for Groundwater Potential in Parts of Rivers State, Nigeria. |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20210105 |