CN106845685B - Parameter optimization method for reducing horizontal well oil testing fracturing operation cost - Google Patents
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- 239000004215 Carbon black (E152) Substances 0.000 claims description 16
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Abstract
The invention discloses a parameter optimization method for reducing the cost of oil testing and fracturing operation of a horizontal well, which comprises the following steps of: 1. screening out main geological parameters influencing the contribution of the horizontal well reservoir yield according to the productivity evaluation test of the liquid indicator; 2. dividing each section of the horizontal well reservoir into a first class, a second class and a third class according to the range of main geological parameters of each section of the horizontal well reservoir; 3. according to the classification of each section of the horizontal well reservoir obtained in the step 2), the first reservoir section is mainly modified, the second reservoir section is compared and optimized, and the third reservoir section is not provided with a spraying point.
Description
Technical Field
The invention relates to the field of oil field fracturing, in particular to a parameter optimization method for reducing the cost of horizontal well oil testing fracturing operation.
Background
In recent years, according to the concept of 'volume fracturing', in order to increase the modification volume of a reservoir and improve the yield of a single well, development parameters such as the well spacing of a horizontal well and the length of a horizontal section are continuously increased, the well spacing of the horizontal well is increased from 300-400 m to 500-600 m, the length of the horizontal section is also increased from 500-600 m in the initial stage of scale development to 800-1000 m, the number of sections of fracturing modification of the horizontal well, the sand adding amount of the single section and the ground liquid amount are increased accordingly in order to adapt to the change of the development parameters and the geological characteristics of the reservoir, the average fracturing modification section number of the single well is 9.3, the sand adding amount of the single section is increased from 25-40 m3 to 50-70 m3, the ground liquid amount is increased from 200-400 m3 to 600-800 m3, and the yield of the single well is improved to a.
From 2015, the problem of cost reduction and efficiency improvement of horizontal wells is increasingly prominent in the face of international low oil price situation, the conventional fracturing modification parameters of the horizontal wells are optimized and formed by three-dimensional fracturing software on the basis of building a geological model mainly according to the universality of geological features of reservoir stratums of a block, namely all horizontal wells in the same block are all formed by a set of fixed fracturing modification parameters, but because the reservoir stratums drilled by the horizontal wells are different in oil reservoir physical properties, lithology, oil content and the like, the set of fracturing parameters formed by optimizing the set of geological model cannot reach the optimization design target, and the operation cost is greatly increased. Therefore, the technical idea of reducing the oil testing fracturing operation cost by improving the fracturing parameter optimization method on the premise of ensuring that the single-well yield of the horizontal well is not influenced is provided.
Disclosure of Invention
The invention aims to solve the problem that the current horizontal well oil testing fracturing operation cost is high.
Therefore, the technical scheme of the invention provides a parameter optimization method for reducing the horizontal well oil testing fracturing operation cost, which comprises the following steps:
step 1) screening out main geological parameters influencing the contribution of the horizontal well reservoir yield according to the productivity evaluation test of the liquid indicator;
step 2) dividing each section of the horizontal well reservoir into a first class, a second class and a third class according to the range of main geological parameters of each section of the horizontal well reservoir;
and 3) according to the classification of each section of the horizontal well reservoir obtained in the step 2), the first reservoir section is mainly transformed, the second reservoir section is optimized in a contrast mode, and a spray point is not set for the third reservoir section.
The liquid indicator in the step 1) adopts YTJ series indicators.
The productivity evaluation test of the liquid indicator adopted in the step 1) is as follows: adding different liquid indicators into different reservoir sections, enabling the liquid indicators to enter and exit the oil reservoir along with fracturing fluid, classifying, purifying, analyzing and processing the liquid indicators in the flowback fluid, obtaining the yield and the fluid production condition of each reservoir section after fracturing fluid modification and the recovery rate of the indicators along with the fracturing fluid, respectively establishing the correlation between the resistance, the density, the acoustic time difference, the gamma, the total hydrocarbon and the natural potential of each reservoir section and the yield contribution rate of each reservoir section, and obtaining three main geological parameters influencing the yield contribution, namely the acoustic time difference, the gamma and the total hydrocarbon content.
The first reservoir interval division standard in the step 2) is as follows: the sound wave time difference is more than or equal to 220 mu s/m, the gamma is less than or equal to 70API, and the total hydrocarbon content is more than or equal to 4 percent; the second type of reservoir segment division standard is as follows: the sound wave time difference is more than 200s/m and less than 220s/m, the gamma is more than 70API and less than 100API, and the total hydrocarbon content is more than 1 percent and less than 4 percent; the third type reservoir segment division standard is as follows: the sound wave time difference is less than or equal to 200 mu s/m, the gamma is more than or equal to 100API, and the total hydrocarbon content is less than or equal to 1 percent.
And 3) reconstructing the first-class and second-class reservoir sections in the step 3), respectively, according to three parameters of the acoustic time difference, the gamma ray and the total hydrocarbon content of the first-class and second-class reservoir sections, carrying out fracture morphology simulation by using three-dimensional fracturing software, and establishing the relation among the permeability, the fracture half-zone length and the ground liquid entering amount of different reservoir sections, preferably selecting the appropriate ground liquid entering amount.
The displacement of the soil inflow liquid of the first type reservoir section is 4.0-6.0m3Min, the sand amount of the first type reservoir section is 40-60m3The discharge volume of the ground liquid entering into the first type reservoir section is 6.0-8.0m3Min, sand content of the first reservoir is 40-80m3。
The invention has the beneficial effects that:
according to the parameter optimization method for reducing the horizontal well oil testing fracturing operation cost, the liquid indicator is used for evaluating the yield contribution rate test result of each section, the geological conditions of different reconstruction sections of the horizontal well are different, and the yield contribution difference is larger.
Drawings
FIG. 1 is a graph showing the relationship between permeability, fracture zonal length and fluid volume entering the ground for reservoir sections with different water combination lengths 6 in example 2 of the present invention.
Detailed Description
The invention is described in further detail below with reference to the following detailed description and accompanying drawings:
example 1:
in order to solve the problem that the current horizontal well oil testing fracturing operation cost is high, the embodiment provides a parameter optimization method for reducing the horizontal well oil testing fracturing operation cost as shown in fig. 1, and the method comprises the following steps:
step 1) screening out main geological parameters influencing the contribution of the horizontal well reservoir yield according to the productivity evaluation test of the liquid indicator:
the liquid indicator is YTJ series indicator, and YTJ series indicator is well known in the industry and will not be described in detail here. The productivity evaluation test using the liquid indicator is as follows: adding different liquid indicators into different reservoir sections, enabling the liquid indicators to enter and exit the oil reservoir along with fracturing fluid, classifying, purifying, analyzing and processing the liquid indicators in the flowback fluid, obtaining the yield and the fluid production condition of each reservoir section after fracturing fluid modification and the recovery rate of the indicators along with the fracturing fluid, respectively establishing the correlation between the resistance, the density, the acoustic time difference, the gamma, the total hydrocarbon and the natural potential of each reservoir section and the yield contribution rate of each reservoir section, and obtaining three main geological parameters influencing the yield contribution, namely the acoustic time difference, the gamma and the total hydrocarbon content.
Step 2) dividing each section of the horizontal well reservoir into a first class, a second class and a third class according to the range of the main geological parameters of each section of the horizontal well reservoir,
as shown in table 1, the horizontal well horizontal segment classification criteria are as follows:
TABLE 1 Classification Standard Table for horizontal well horizontal segment
And 3) according to the classification of each section of the horizontal well reservoir obtained in the step 2), the first reservoir section is mainly transformed, the second reservoir section is optimized in a contrast mode, and a spray point is not set for the third reservoir section.
And (3) reconstructing the first-class and second-class reservoir sections according to three parameters of the acoustic time difference, gamma ray and total hydrocarbon content of the first-class and second-class reservoir sections respectively, and performing fracture morphology simulation by using three-dimensional fracturing software to establish the relationship among the permeability of different reservoir sections, the half zone length of the fracture and the ground liquid amount, and preferably selecting the appropriate ground liquid amount.
The displacement of the soil inflow liquid of the first type reservoir section is 4.0-6.0m3Min, the sand amount of the first type reservoir section is 40-60m3The discharge volume of the ground liquid entering into the first type reservoir section is 6.0-8.0m3Min, sand content of the first reservoir is 40-80m3。
According to the parameter optimization method for reducing the horizontal well oil testing fracturing operation cost, the liquid indicator is used for evaluating the yield contribution rate test result of each section, the geological conditions of different reconstruction sections of the horizontal well are different, and the yield contribution difference is larger.
Example 2:
the technical method of the invention is further explained by taking a water-synthesizing length 6 horizontal well development area as an example.
The well spacing of a horizontal well with the water-combining length of 6 is 500m, the horizontal section length is 800m, and the early-stage design fracturing parameters are as follows: the number of the modified sections is 9-10, and the sand amount of a single section is 50m3Discharge capacity of 6.0m3A/min and a liquid amount of 500-600 m3And the average daily oil production of a single well at the initial stage of the production well is 7.0 t/d.
According to the productivity evaluation test of the liquid indicator, the main geological parameters influencing the yield contribution of each section of the horizontal well are determined to be three parameters of acoustic wave time difference, gamma and total hydrocarbon content.
According to the geological characteristics of the reservoir with the length of water combination of 6, the range values of three parameters are determined and the contribution to the yield is analyzed and judged, so as to establish a fine optimization parameter division table of the reservoir with the length of water combination of 6 horizontal segments,
as shown in table 2 below:
table 2 standard table for classifying horizontal segments of 6 water-combined blocks
And (3) carrying out fracture morphology simulation by using three-dimensional fracturing software, and establishing the relation between the half zone length of the fractures of different reservoirs with water combination length of 6 and the ground entering liquid amount, wherein the appropriate ground entering liquid amount is preferably selected by combining the permeability of each reservoir as shown in figure 1.
The fracturing modification parameters of the synthetic length 6 horizontal well are further refined, and are shown in the following table:
table 3 hydration length 6 block horizontal well fine optimization parameter table
The novel fracturing parameter optimization method is applied to 43 horizontal wells on site, the number of hectometer reconstruction sections is reduced by 10% by optimizing horizontal section dessert and fine optimization reconstruction parameters, the liquid quantity of a single section is reduced by 3-5%, the initial yield is equivalent to that of an adjacent well, and the cost of the single well can be saved by 30-50 ten thousand yuan
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 (1)
1. A parameter optimization method for reducing the cost of oil testing and fracturing operation of a horizontal well is characterized by comprising the following steps of: the method comprises the following steps:
step 1) screening out main geological parameters influencing the contribution of the horizontal well reservoir yield according to the productivity evaluation test of the liquid indicator;
step 2) dividing each section of the horizontal well reservoir into a first class, a second class and a third class according to the range of main geological parameters of each section of the horizontal well reservoir;
step 3) according to the classification of each section of the horizontal well reservoir obtained in the step 2), the first reservoir section is mainly transformed, the second reservoir section is optimized in a contrast mode, and a spray point is not arranged on the third reservoir section;
the liquid indicator in the step 1) adopts YTJ series indicators; the productivity evaluation test of the liquid indicator adopted in the step 1) is as follows: adding different liquid indicators into different reservoir sections, enabling the liquid indicators to enter and exit an oil reservoir along with fracturing fluid, classifying, purifying, analyzing and processing the liquid indicators in the flowback fluid to obtain the yield, the fluid production condition and the recovery rate of the indicators along with the fracturing fluid of each reservoir section after the fracturing fluid is transformed, respectively establishing the correlation between the resistance, the density, the acoustic wave time difference, the gamma, the total hydrocarbon and the natural potential of each reservoir section and the yield contribution rate of each reservoir section, and obtaining three main geological parameters influencing the yield contribution, namely the acoustic wave time difference, the gamma and the total hydrocarbon content; the first reservoir interval division standard in the step 2) is as follows: the sound wave time difference is more than or equal to 220 mu s/m, the gamma is less than or equal to 70API, and the total hydrocarbon content is more than or equal to 4 percent; the second type of reservoir segment division standard is as follows: the sound wave time difference is more than 200s/m and less than 220s/m, the gamma is more than 70API and less than 100API, and the total hydrocarbon content is more than 1 percent and less than 4 percent; the third type reservoir segment division standard is as follows: the sound wave time difference is less than or equal to 200 mu s/m, the gamma is more than or equal to 100API, and the total hydrocarbon content is less than or equal to 1 percent; in the step 3), the first-class and second-class reservoir sections are reformed respectively according to three parameters of acoustic time difference, gamma and total hydrocarbon content of the first-class and second-class reservoir sections, fracture morphology simulation is carried out by using three-dimensional fracturing software, and the relation among the permeability, the fracture half-band length and the ground liquid entering amount of different reservoir sections is established, and the appropriate ground liquid entering amount is preferably selected; carrying out dry distillation on the soil-entering liquid of the first type storage interval at a rate of 4.0-6.0 m/min, carrying out dry distillation on the soil-entering liquid of the first type storage interval at a rate of 40-60m, carrying out dry distillation on the soil-entering liquid of the first type storage interval at a rate of 6.0-8.0 m/min, and carrying out dry distillation on the soil-entering liquid of the first type storage interval at a rate of 40-80 m.
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US20050279161A1 (en) * | 2004-06-18 | 2005-12-22 | Schlumberger Technology Corporation | Wireline apparatus for measuring streaming potentials and determining earth formation characteristics |
CN103590799A (en) * | 2013-11-13 | 2014-02-19 | 中国石油化工股份有限公司 | Three-dimensional fracturing design method for horizontal well in compact sandstone reservoir |
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US20050279161A1 (en) * | 2004-06-18 | 2005-12-22 | Schlumberger Technology Corporation | Wireline apparatus for measuring streaming potentials and determining earth formation characteristics |
CN103590799A (en) * | 2013-11-13 | 2014-02-19 | 中国石油化工股份有限公司 | Three-dimensional fracturing design method for horizontal well in compact sandstone reservoir |
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---|
利用随钻测井及示踪剂技术分析致密油藏水平井各压裂段产出特征;张洪量;《长江大学学报(自科版)》;20161130;第76页第2段 * |
水平井水力喷射分段压裂优化设计研究;韩剑雄;《中国优秀硕士学位论文全文数据库》;20150531;第51-52页 * |
涪陵页岩气田焦石坝页岩气储层含气量测井评价;石文睿等;《测井技术》;20150630;第358-362页 * |
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