CN111335866A - Tight sandstone gas reservoir low-quality reservoir horizontal well optimization method - Google Patents

Tight sandstone gas reservoir low-quality reservoir horizontal well optimization method Download PDF

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CN111335866A
CN111335866A CN202010118230.3A CN202010118230A CN111335866A CN 111335866 A CN111335866 A CN 111335866A CN 202010118230 A CN202010118230 A CN 202010118230A CN 111335866 A CN111335866 A CN 111335866A
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well
horizontal well
reservoir
horizontal
quality
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CN111335866B (en
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王文胜
朱亚军
兰义飞
白玉奇
张晨
史红然
田清华
张志刚
薛雯
李武科
赵忠军
李浮萍
李义军
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Petrochina Co Ltd
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    • EFIXED CONSTRUCTIONS
    • E21EARTH DRILLING; MINING
    • E21BEARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
    • E21B43/00Methods or apparatus for obtaining oil, gas, water, soluble or meltable materials or a slurry of minerals from wells
    • E21B43/30Specific pattern of wells, e.g. optimizing the spacing of wells
    • E21B43/305Specific pattern of wells, e.g. optimizing the spacing of wells comprising at least one inclined or horizontal well

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Abstract

The invention belongs to the technical field of oil and gas field exploration and development, and particularly provides a method for optimizing a low-quality reservoir horizontal well of a tight sandstone gas reservoir, which comprises the following steps: 1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well; 2) aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells; 3) reservoir prediction is carried out between the horizontal well starting well and the tail end well in the step 2) based on geological knowledge base constraint, whether the horizontal well is deployed or not is finally determined, the problem that the well position optimization of the horizontal well is not researched specially under the condition that the reservoir quality is obviously reduced in the middle and later stages of gas field development is solved, and the method has the characteristics of simply and quickly screening the horizontal well starting well and carrying out horizontal well position deployment in the low-quality reservoir area of the tight sandstone gas reservoir.

Description

Tight sandstone gas reservoir low-quality reservoir horizontal well optimization method
Technical Field
The invention belongs to the technical field of oil and gas field exploration and development, and particularly relates to a method for optimizing a low-quality reservoir horizontal well of a tight sandstone gas reservoir.
Background
Along with the continuous deepening of the development degree of the oil and gas field, the well pattern of the favorable area is gradually improved, the quality of the reservoir of the area with the remained reserves and no use is obviously reduced, but the horizontal well is still an effective technical means for developing the compact sandstone gas reservoir. In the initial stage of development of the oil and gas field, according to the development idea of 'fat first and thin second', the horizontal well is selected to be deployed in a high-quality reservoir, and the horizontal well is not deployed in a low-quality reservoir, so that the research of well position optimization of the horizontal well under the condition that the quality of the reservoir is obviously reduced in the middle and later stages of development of the oil and gas field is not specially performed at present.
Disclosure of Invention
The invention provides a method for optimizing a low-quality reservoir horizontal well of a tight sandstone gas reservoir, which aims to solve the problem that the well position of the horizontal well is not optimized specially in the middle and later stages of gas field development under the condition that the reservoir quality is obviously reduced.
Therefore, the invention provides a method for optimizing a low-quality reservoir horizontal well of a tight sandstone gas reservoir, which comprises the following steps:
1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well;
2) aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells;
3) and (3) reservoir prediction is carried out between the horizontal well sending well and the tail end well in the step 2) based on geological knowledge base constraint, and whether the horizontal well is deployed or not is finally determined.
The well pattern and well spacing required by the deployment of the horizontal well in the step 1) is as follows: the distance from a target point to a starting well is not less than 350m, the distance from a well bottom to a tail end well is not less than 400m, the distance from a horizontal well to a left vertical well, the distance from a horizontal well to a right vertical well, the distance from the horizontal well to a left horizontal well and the distance from the horizontal well to a right horizontal well are not less than 400m, and the length of a horizontal section of the horizontal well is not less than 800 m; or the well pattern well distance required by the deployment of the horizontal well in the step 1) is not less than 1550m between the starting well and the tail end well of the horizontal well.
And (3) the skeleton well of the horizontal well in the step 1) is a horizontal well starting well.
The logging interpretation result of the step 2) divides the reservoir quality of the target stratum into three types, wherein the three types comprise a dry layer, a gas-containing layer and a gas layer, the dry layer and the gas-containing layer are low-quality reservoir layers, and the gas layer is a high-quality reservoir layer; the GR curve profile for the low quality reservoir includes a superposition of a bell shape, a sawtooth box shape, and an upper bell shape and a lower sawtooth box shape.
The thickness of the low-quality reservoir in the step 2) requires that the thickness of the low-quality reservoir of the target layer is not less than 6m, the thickness of a single interlayer is not more than 0.5m, and the thickness of a cumulative interlayer is not more than 1 m.
And 3) the geological knowledge base in the step 3) is a result of the configuration dissection of the close well pattern area similar to the sedimentary reservoir characteristics of the research area, and at least comprises the shapes of a river channel and an effective sand body, and the thickness, length, width-thickness ratio and length-width ratio ranges of the river channel and the effective sand body.
And the combination of the horizontal well starting well and the terminal well GR curve form in the step 3) comprises the combination of the same form and the combination of different forms.
The reservoir prediction result in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the geological risk of the horizontal well is high, and prediction is not carried out; and the GR curve forms of the horizontal well starting well and the tail end well are not bell-shaped other combinations at the same time, and 2-3 gas layer sand bodies can be drilled and met by predicting the 1550m well spacing.
The result of determining whether to deploy the horizontal well in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the horizontal well has large geological risk and is not deployed; and the GR curve forms of the starting well and the tail end well of the horizontal well are not bell-shaped other combinations at the same time, and the horizontal well can be deployed.
The invention has the beneficial effects that: the invention provides a method for optimizing a low-quality reservoir horizontal well of a tight sandstone gas reservoir, which comprises the following steps: 1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well; 2) aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells; 3) and (3) reservoir prediction is carried out between the horizontal well sending well and the tail end well in the step 2) based on geological knowledge base constraint, and whether the horizontal well is deployed or not is finally determined. According to the method for optimizing the horizontal well of the low-quality reservoir of the tight sandstone gas reservoir, the starting well which meets the deployment of the horizontal well can be screened out through the GR curve form of the target layer of the starting well of the horizontal well and the reservoir thickness under the condition that the well pattern well spacing meets the deployment requirement of the horizontal well, the reservoir distribution prediction is carried out under the constraint of the reservoir geological knowledge base, the starting well of the horizontal well can be screened out simply and quickly, and the well position deployment of the low-quality reservoir of the tight sandstone gas reservoir is optimized.
Drawings
The present invention will be described in further detail below with reference to the accompanying drawings.
FIG. 1 is a schematic diagram of the distribution relationship between horizontal well positions and skeleton wells;
FIG. 2 is a GR curve form schematic of a tight sandstone gas reservoir low quality reservoir;
FIG. 3 is a schematic diagram of predicting reservoir development between a sending well and a terminal well based on a geological knowledge base.
Detailed Description
Example 1:
a well optimization method for a tight sandstone gas reservoir low-quality reservoir horizontal well comprises the following steps:
1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well;
2) aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells;
3) and (3) reservoir prediction is carried out between the horizontal well sending well and the tail end well in the step 2) based on geological knowledge base constraint, and whether the horizontal well is deployed or not is finally determined.
Example 2:
a well optimization method for a tight sandstone gas reservoir low-quality reservoir horizontal well comprises the following steps:
1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well; the well pattern and well spacing required by the deployment of the horizontal well in the step 1) is as follows: the distance from a target point to a starting well is not less than 350m, the distance from a well bottom to a tail end well is not less than 400m, the distance from a horizontal well to a left vertical well, the distance from a horizontal well to a right vertical well, the distance from the horizontal well to a left horizontal well and the distance from the horizontal well to a right horizontal well are not less than 400m, and the length of a horizontal section of the horizontal well is not less than 800 m; or the well pattern well distance required by the deployment of the horizontal well in the step 1) is not less than 1550m between the starting well and the tail end well of the horizontal well. And (3) the skeleton well of the horizontal well in the step 1) is a horizontal well starting well.
2) Aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells; the logging interpretation result of the step 2) divides the reservoir quality of the target stratum into three types, wherein the three types comprise a dry layer, a gas-containing layer and a gas layer, the dry layer and the gas-containing layer are low-quality reservoir layers, and the gas layer is a high-quality reservoir layer; the GR curve profile for the low quality reservoir includes a superposition of a bell shape, a sawtooth box shape, and an upper bell shape and a lower sawtooth box shape. The thickness of the low-quality reservoir in the step 2) requires that the thickness of the low-quality reservoir of a target layer is not less than 6m, the thickness of a single interlayer is not more than 0.5m, and the thickness of a cumulative interlayer is not more than 1 m; such as dry layer (shown in (a), (b) and (c) of FIG. 2), gas-containing layer (shown in (d) and (e) of FIG. 2); the superposition of a bell shape (shown in (a) of FIG. 2), a sawtooth box shape (shown in (b) of FIG. 2) and (d) of an upper bell shape and a lower sawtooth box shape (shown in (c) of FIG. 2) and (e) of an upper bell shape;
and (3) reservoir prediction is carried out between the horizontal well sending well and the tail end well in the step 2) based on geological knowledge base constraint, and whether the horizontal well is deployed or not is finally determined. And 3) the geological knowledge base in the step 3) is a result of the configuration dissection of the close well pattern area similar to the sedimentary reservoir characteristics of the research area, and at least comprises the shapes of a river channel and an effective sand body, and the thickness, length, width-thickness ratio and length-width ratio ranges of the river channel and the effective sand body. And the combination of the horizontal well starting well and the terminal well GR curve form in the step 3) comprises the combination of the same form and the combination of different forms. The reservoir prediction result in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the geological risk of the horizontal well is high, and prediction is not carried out; and the GR curve forms of the horizontal well starting well and the tail end well are not bell-shaped other combinations at the same time, and 2-3 gas layer sand bodies can be drilled and met by predicting the 1550m well spacing. The result of determining whether to deploy the horizontal well in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the horizontal well has large geological risk and is not deployed; the GR curve forms of the starting well and the tail end well of the horizontal well are not bell-shaped other combinations at the same time, and the horizontal well can be deployed; for example: the reservoir prediction result in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped (as shown in (a) of a figure 3), the geological risk of the horizontal well is high, and prediction and deployment are not carried out; the GR curve forms of the starting well and the tail end well of the horizontal well are both in a dry-layer sawtooth box shape, 2 gas-layer sand bodies can be predicted to be drilled at a well distance of 1550m, and the horizontal well can be deployed between the starting well and the tail end well; (as shown in (b) of figure 3), GR curve forms of a starting well and a tail end well of the horizontal well are both in a dry layer sawtooth box shape, 2 gas layer sand bodies are predicted to be drilled at a well distance of 1550m, and the horizontal well can be deployed between the starting well and the tail end well; (as shown in (c) of figure 3), GR curve forms of the starting well and the tail end well of the horizontal well are superposition of bell-shaped sawtooth box types at the upper part and the lower part of a dry layer, 3 gas layer sand bodies are predicted to be drilled at a well distance of 1550m, and the horizontal well can be deployed between the starting well and the tail end well; (as shown in (d) of figure 3), GR curve forms of the starting well and the tail end well of the horizontal well are both in a differential gas zone sawtooth box shape, 2 gas zone sand bodies are predicted to be drilled at a well distance of 1550m, and the horizontal well can be deployed between the starting well and the tail end well; (as shown in (e) of figure 3), GR curve forms of the starting well and the tail end well of the horizontal well are both superposition of bell-shaped sawtooth box types at the lower part of the upper part of a gas difference layer, 3 gas layer sand bodies are predicted to be drilled at a well distance of 1550m, and the horizontal well can be deployed between the starting well and the tail end well; the trajectory between the horizontal well starting well and the end well is designed according to the construction prediction.
According to the method for optimizing the horizontal well of the low-quality reservoir of the tight sandstone gas reservoir, the starting well which meets the deployment of the horizontal well can be screened out through the GR curve form of the target layer of the starting well of the horizontal well and the reservoir thickness under the condition that the well pattern well spacing meets the deployment requirement of the horizontal well, the reservoir distribution prediction is carried out under the constraint of the reservoir geological knowledge base, the starting well of the horizontal well can be screened out simply and quickly, and the well position deployment of the low-quality reservoir of the tight sandstone gas reservoir is optimized.
Example 2:
a well optimization method for a tight sandstone gas reservoir low-quality reservoir horizontal well comprises the following steps:
1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well; (as shown in fig. 1) the well pattern and the well spacing required for the horizontal well deployment are as follows: the distance from a target point to a well is 350m, the distance from the well 1-2 to the well is 400m, the distance from the well 1-2 to the well 1-3 is 400m, the distance from the bottom of a horizontal well 1 to the well 3-1 is 400m, the distance from the horizontal well 1 to the well 2-1 (a left adjacent vertical well) is 400m, the distance from the horizontal well 1 to the well 2-1 (a right adjacent horizontal well) is 400m, the distance from the horizontal well 1 to a right adjacent horizontal well is 2 m, the horizontal section length of the horizontal well 1 is. The skeleton well of the horizontal well is a well 1-1, a well 1-2 and a well 1-3 which are used as a starting well of the horizontal well, and the well 3-1 is used as a tail end well of the horizontal well;
2) classifying the reservoir quality of a target stratum according to a logging interpretation result aiming at the skeleton wells (wells 1-1, 1-2, 1-3 and 3-1) screened in the step 1): the well 1-1 is a dry layer bell shape, the well 1-2 is a dry layer sawtooth box shape, the well 1-3 is the superposition of a bell shape lower part sawtooth box shape at the upper part of a gas difference layer, the well 3-1 is a dry layer sawtooth box shape, the thickness of a mudstone layer of the well 1-1 is 0.8m, the thickness of an accumulated mudstone layer of the well 1-3 is 1.3m, the thickness of a reservoir layer of the well 1-2 is 8m, the thickness of a single interlayer is not more than 0.5m, the thickness of an accumulated interlayer is not more than 1m, the thickness of the reservoir layer of the well 3-1 is 7m, the thickness of the single interlayer is not more than 0.5m, the thickness of the accumulated interlayer is not more than 1m, and therefore, the well 1-;
3) based on the constraint of a geological knowledge base, 2 gas layer sand bodies can be drilled and met in the 1550m well spacing between the predicted well 1-2 and the well 3-1, and meanwhile, a horizontal well can be deployed between the well 1-2 and the well 3-1.
According to the method for optimizing the horizontal well of the low-quality reservoir of the tight sandstone gas reservoir, the starting well which meets the deployment of the horizontal well can be screened out through the GR curve form of the target layer of the starting well of the horizontal well and the reservoir thickness under the condition that the well pattern well spacing meets the deployment requirement of the horizontal well, the reservoir distribution prediction is carried out under the constraint of the reservoir geological knowledge base, the starting well of the horizontal well can be screened out simply and quickly, and the well position deployment of the low-quality reservoir of the tight sandstone gas reservoir is optimized.
The above examples are merely illustrative of the present invention and should not be construed as limiting the scope of the invention, which is intended to be covered by the claims and any design similar or equivalent to the scope of the invention.

Claims (9)

1. A well optimization method for a tight sandstone gas reservoir low-quality reservoir horizontal well is characterized by comprising the following steps: the method comprises the following steps:
1) screening out skeleton wells capable of deploying the horizontal well according to the well pattern well spacing required by the deployment of the horizontal well;
2) aiming at the skeleton wells screened in the step 1), classifying the reservoir quality of a target stratum according to a well logging interpretation result, and selecting the skeleton wells from the skeleton wells according to the thickness of a low-quality reservoir as horizontal well starting wells;
3) and (3) reservoir prediction is carried out between the horizontal well sending well and the tail end well in the step 2) based on geological knowledge base constraint, and whether the horizontal well is deployed or not is finally determined.
2. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 1, wherein the method comprises the following steps: the well pattern and well spacing required by the deployment of the horizontal well in the step 1) is as follows: the distance from a target point to a starting well is not less than 350m, the distance from a well bottom to a tail end well is not less than 400m, the distance from a horizontal well to a left vertical well, the distance from a horizontal well to a right vertical well, the distance from the horizontal well to a left horizontal well and the distance from the horizontal well to a right horizontal well are not less than 400m, and the length of a horizontal section of the horizontal well is not less than 800 m; or the well pattern well distance required by the deployment of the horizontal well in the step 1) is not less than 1550m between the starting well and the tail end well of the horizontal well.
3. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 1, wherein the method comprises the following steps: and (3) the skeleton well of the horizontal well in the step 1) is a horizontal well starting well.
4. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 1, wherein the method comprises the following steps: the logging interpretation result of the step 2) divides the reservoir quality of the target stratum into three types, wherein the three types comprise a dry layer, a gas-containing layer and a gas layer, the dry layer and the gas-containing layer are low-quality reservoir layers, and the gas layer is a high-quality reservoir layer; the GR curve profile for the low quality reservoir includes a superposition of a bell shape, a sawtooth box shape, and an upper bell shape and a lower sawtooth box shape.
5. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 1, wherein the method comprises the following steps: the thickness of the low-quality reservoir in the step 2) requires that the thickness of the low-quality reservoir of the target layer is not less than 6m, the thickness of a single interlayer is not more than 0.5m, and the thickness of a cumulative interlayer is not more than 1 m.
6. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 1, wherein the method comprises the following steps: and 3) the geological knowledge base in the step 3) is a result of the configuration dissection of the close well pattern area similar to the sedimentary reservoir characteristics of the research area, and at least comprises the shapes of a river channel and an effective sand body, and the thickness, length, width-thickness ratio and length-width ratio ranges of the river channel and the effective sand body.
7. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 4, wherein the method comprises the following steps: and the combination of the horizontal well starting well and the terminal well GR curve form in the step 3) comprises the combination of the same form and the combination of different forms.
8. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 7, wherein the method comprises the following steps: the reservoir prediction result in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the geological risk of the horizontal well is high, and prediction is not carried out; and the GR curve forms of the horizontal well starting well and the tail end well are not bell-shaped other combinations at the same time, and 2-3 gas layer sand bodies can be drilled and met by predicting the 1550m well spacing.
9. The tight sandstone gas reservoir low-quality reservoir horizontal well optimization method of claim 8, wherein the method comprises the following steps: the result of determining whether to deploy the horizontal well in the step 3) is as follows: the GR curve forms of the starting well and the tail end well of the horizontal well are both bell-shaped, the horizontal well has large geological risk and is not deployed; and the GR curve forms of the starting well and the tail end well of the horizontal well are not bell-shaped other combinations at the same time, and the horizontal well can be deployed.
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