CN112561279A - Identification method and system for high-water-consumption zone - Google Patents
Identification method and system for high-water-consumption zone Download PDFInfo
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Abstract
The invention discloses a method and a system for identifying a high-water-consumption zone, wherein the identification method comprises the following steps: identifying a high-water-consumption well point by a multi-parameter fuzzy evaluation method; multi-data qualitative and quantitative analysis and identification of the high water consumption layer section; and determining the distribution of the high water consumption zone by combining seepage resistance analysis. By adopting the scheme, the invention establishes a set of three-position zonation method from point to surface to body, organically connects points represented by well points, surfaces represented by intervals and bodies represented by zonation, and aims to save the whole oil field at the later stage of the ultrahigh water content, accurately identify and treat the high water consumption zonation, improve the recovery ratio and prolong the economic life of the ultrahigh water content oil field, thereby having high market application value.
Description
Technical Field
The invention relates to development identification of a high water-consumption zone of an ultra-high water-cut oil field, in particular to an identification method and system of the high water-consumption zone.
Background
The influence of reservoir non-average value and long-term water injection development is utilized, the high water consumption zone of the ultra-high water-content oil field is developed, the water injection is in inefficient and ineffective circulation, the recovery ratio is not improved, and the operation cost is greatly increased. Therefore, accurate identification and treatment of the high water consumption zone of the extremely high water content later-period whole oil field become an important direction for developing oil reservoirs by water drive, improving the recovery ratio and prolonging the economic life.
Specifically, the oil field development enters the later stage of extra-high water content, and under the influence of reservoir non-mean, injected water enters along a high-permeability section in a burst mode in the plane and the longitudinal direction to form a high-water-consumption zone with water injection and inefficient circulation. In the area where the high water-consumption zone develops, the injected water does not play a role in oil displacement, but is directly extracted from the oil extraction end, so that the operation cost is greatly increased. The statistical result of the mine field shows that the operation cost is gradually increased along with the increase of the water content, and when the water content is more than 95 percent, the water-oil ratio is in a straight-line increase, and the operation cost is in a nonlinear increase. Therefore, the method has important significance for accurately identifying the high water-consumption zone and improving the oil reservoir development effect in the ultrahigh water-cut period and reducing the production cost.
Both domestic and foreign have been described for many years with respect to high water-consumption zones, and united states Brigham et al has used the technique of interwell tracer to study the non-mean properties of oil reservoirs; king et al identify inefficient and ineffective circulation zones using water injection profile logging data; zhayongqiang and the like apply a radioactive isotope tracer technology to research a high permeable layer between oil and water wells; the Liuyutian and the like research a fuzzy identification method of an inefficient and ineffective circulating zone; the method for judging the low-efficiency and invalid circular bands by using the methods of fuzzy synthesis, numerical simulation and the like of the Songchopin; the dynamic discrimination early warning method of the dominant seepage channel is established by the Jianghangqiao; the Liu Shi hong and the like use a numerical simulation method to divide the development level of the high water consumption zone; the Huangying pine proposes a method for quantitatively explaining a high-water-consumption zone by using an interference well testing method; and the Wangxen et al utilizes an oil reservoir numerical simulator to establish an oil reservoir numerical simulation model to identify the development level of the water-consuming zone and carry out quantitative characterization on the development level.
However, at present, most of the research works of water-drive reservoirs at home and abroad still remain in the aspects of low-efficiency ineffective circulation zones, dominant seepage channels, high-permeability strips and the like, so that the influence of single factors such as reservoir absolute permeability on the development effect of the oil field is over emphasized, or a reservoir numerical simulator is needed to be adopted to establish a reservoir numerical simulation model to adjust the development strategy.
Accordingly, the prior art is deficient and needs improvement.
Disclosure of Invention
The invention provides a method and a system for identifying a high-water-consumption layer belt, which aim to solve the technical problems that: how to accurately and simply realize the identification of the high-water-consumption zone through three levels of points, sections and zones.
The technical scheme of the invention is as follows: a method of identifying a high water-consumption zone, comprising:
identifying a high-water-consumption well point by a multi-parameter fuzzy evaluation method;
multi-data qualitative and quantitative analysis and identification of the high water consumption layer section;
and determining the distribution of the high water consumption zone by combining seepage resistance analysis.
Preferably, after determining the distribution of the high water-consumption zone in combination with the seepage resistance analysis, the identification method further comprises: and treating the high-water-consumption layer belt through hole patching and layer regulation.
Preferably, the multiple parameters include: permeability, effective thickness, daily water injection amount, water injection oil pressure, apparent water absorption index and unit thickness accumulated water injection amount.
Preferably, the multi-parameter fuzzy evaluation method includes:
setting high water consumption zone influence parameters and determining evaluation factors; wherein the influencing parameters include: permeability, effective thickness, daily water injection amount, water injection oil pressure, apparent water absorption index and unit thickness accumulated water injection amount;
carrying out high-water-consumption zone grading, and establishing a comment set;
associating the membership degree of the evaluation factors to each factor in the comment set, and establishing an evaluation decision matrix;
adopting an analytic hierarchy process to construct a judgment matrix, setting an evaluation factor weight coefficient, and carrying out consistency verification;
and obtaining a comprehensive evaluation result, and obtaining a final evaluation result according to the maximum membership rule.
Preferably, the grade of the high-water-consumption zone is divided according to the production condition and the historical experience of the mine; alternatively, the weighting coefficients are determined in the form of vectors using a hierarchy analysis method.
Preferably, the multi-data qualitative and quantitative analysis for identifying the high water-consumption interval comprises: qualitatively identifying well data to determine high water-consumption intervals; wherein, the development position and the distribution rule of the possible high water-consumption interval are qualitatively judged from the data of the new core well, the new well and the old well; and quantitatively determining the high water-consuming interval from the water absorption profile, the layering test and the core washing characteristic.
Preferably, the determining the distribution of the high water-consuming zone in combination with the seepage resistance analysis comprises: determining the plane relevance of the high water consumption layer section according to static factors; determining the vertical relevance of the high water consumption layer section according to dynamic factors; determining the existence of a high water consumption layer zone according to the plane relevance and the vertical relevance of the high water consumption layer section; analyzing and identifying the dominant water flow direction in the high water consumption zone by combining seepage resistance; and determining the distribution of the high water consumption zone according to the dominant water flow direction.
Preferably, the static factors include: the method comprises the following steps of (1) inter-well energy phase type, thickness of communicated sandstone, physical properties of a reservoir, well spacing, number of communicated wells and logging flooding; the dynamic factors include: water injection speed, cumulative injection amount and injection strength.
Preferably, after determining the distribution of the high water-consuming zone, verification is also performed.
Preferably, saturation data is used to verify the distribution of the water-consuming zone.
An identification system for a high-water-consumption zone having functional modules for carrying out the identification method as claimed in any one of the preceding claims.
By adopting the scheme, the invention establishes a set of three-position zonation method from point to surface to body, organically connects points represented by well points, surfaces represented by intervals and bodies represented by zonation, and aims to save the whole oil field at the later stage of the ultrahigh water content, accurately identify and treat the high water consumption zonation, improve the recovery ratio and prolong the economic life of the ultrahigh water content oil field, thereby having high market application value.
Drawings
FIG. 1 is a schematic view of an embodiment of the method for identifying a high-water-consumption zone of the present invention;
FIG. 2 is a schematic view showing another embodiment of the method for identifying a high water-consumption zone of the present invention;
FIG. 3 is a schematic view showing another embodiment of the method for identifying a high water-consumption zone of the present invention;
FIG. 4 is a schematic diagram of the water injection well relative water inrush coefficient for quantitatively determining a water-consuming interval according to another embodiment of the method for identifying a high water-consuming zone of the present invention;
FIG. 5 is a schematic diagram of a water injection layer water absorption index burst factor for quantitatively determining a water injection layer of a high water-consumption interval according to another embodiment of the identification method of the high water-consumption zone of the invention;
FIG. 6 is a schematic diagram showing the relationship between permeability and oil displacement efficiency corresponding to a water washing level according to another embodiment of the method for identifying a high water-consumption zone;
fig. 7 is a schematic diagram of the quantitative analysis of the identification method of the high water-consuming zone of the invention for identifying the high water-consuming zone.
Detailed Description
In order to facilitate an understanding of the invention, the invention is described in more detail below with reference to the accompanying drawings and specific examples. This invention may, however, be embodied in many different forms and should not be construed as limited to the embodiments set forth herein. It will be understood that when an element is referred to as being "secured to" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this invention belongs. The terminology used in the description is for the purpose of describing particular embodiments only and is not intended to be limiting of the invention. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
The development of the high water-consumption zone is started from the water injection well, the oil production well is a node, and the 'passage' is formed between the oil and water wells. Therefore, a set of recognition method for analyzing the high water-consumption zone in three layers from point to surface to body is established, the well point is firstly determined, then the layer section is determined, and finally the zone is determined, so that the high water-consumption zone is quickly and effectively recognized, and then effective measures are adopted for treatment. As shown in fig. 1, an embodiment of the present invention is a method for identifying a high-water-consumption zone, including: identifying a high-water-consumption well point by a multi-parameter fuzzy evaluation method; multi-data qualitative and quantitative analysis and identification of the high water consumption layer section; and determining the distribution of the high water consumption zone by combining seepage resistance analysis. By adopting the scheme, the invention establishes a set of three-position zonation method from point to surface to body, organically connects points represented by well points, surfaces represented by intervals and bodies represented by zonation, and aims to save the whole oil field at the later stage of the ultrahigh water content, accurately identify and treat the high water consumption zonation, improve the recovery ratio and prolong the economic life of the ultrahigh water content oil field, thereby having high market application value.
Preferably, after determining the distribution of the high water-consumption zone in combination with the seepage resistance analysis, the identification method further comprises: and treating the high-water-consumption layer belt through hole patching and layer regulation. As shown in fig. 2, an embodiment of the present invention is a method for identifying a high-water-consumption zone, including: identifying a high-water-consumption well point by a multi-parameter fuzzy evaluation method; multi-data qualitative and quantitative analysis and identification of the high water consumption layer section; determining the distribution of the high water consumption zone by combining seepage resistance analysis; and treating the high-water-consumption layer belt through hole patching and layer regulation. Therefore, the high-water-consumption zone can be rapidly identified and effectively treated, the oil field with extremely high water content is saved, and the oil output is increased. Preferably, after determining the distribution of the high water-consuming zone, verification is also performed. Preferably, saturation data is used to verify the distribution of the water-consuming zone. Preferably, the distribution of the high-water-consumption zone is verified by adopting saturation data to obtain a verification result; and then treating the high water consumption zone through hole patching and layer adjustment according to a verification result. As shown in fig. 3, an embodiment of the present invention is a method for identifying a high-water-consumption zone, including: identifying a high-water-consumption well point by a multi-parameter fuzzy evaluation method; multi-data qualitative and quantitative analysis and identification of the high water consumption layer section; determining the distribution of the high water consumption zone by combining seepage resistance analysis; verifying the distribution of the high-water-consumption zone by adopting saturation data to obtain a verification result; and treating the high-water-consumption layer zone through hole patching and layer adjustment according to a verification result. Other embodiments are analogized and will not be described in detail below. The invention uses the saturation monitoring data of a unit mine field in the northern museum in the west area of a certain oil field in North China to verify the reliability of the unit mine field high water consumption zone judged by the well-fixing point, interval-fixing zone-fixing method, and the applicant compares the saturation data of the whole area of the unit mine field with the high water consumption zone identified by the identification method of the high water consumption zone, and confirms that the distribution coincidence degree of the two is as high as 95.83 percent, in practical application, after the high water consumption zone is treated by hole patching and layer adjusting for a certain oil well of the unit mine field, the daily oil yield is improved to more than 100 tons from 22 tons, and the daily oil yield of the other oil well is improved to nearly 80 tons from 19 tons, thereby the high water consumption zone can be accurately identified, and the yield can be really improved to a certain extent by effective treatment, although the ultrahigh water-containing oil field can not be compared with the high-yield oil field abroad, but also can contribute waste heat to the country and improve the energy yield. In comparison and judgment of the whole area of another unit mine field of the oil field, the distribution coincidence degree of the two is also 91.44%; others are also large and not listed here. Therefore, the method for identifying the high water-consumption zone is reasonable and reliable in result of judging the high water-consumption zone, and is also beneficial to realizing yield increase after treatment, improving the recovery rate and prolonging the economic life of the oil field with ultrahigh water content.
Preferably, the multiple parameters include: permeability, effective thickness, daily water injection amount, water injection oil pressure, apparent water absorption index and unit thickness accumulated water injection amount. Preferably, the multi-parameter fuzzy evaluation method includes: setting high water consumption zone influence parameters and determining evaluation factors; wherein the influencing parameters include: permeability, effective thickness, daily water injection amount, water injection oil pressure, apparent water absorption index and unit thickness accumulated water injection amount; carrying out high-water-consumption zone grading, and establishing a comment set; associating the membership degree of the evaluation factors to each factor in the comment set, and establishing an evaluation decision matrix; adopting an analytic hierarchy process to construct a judgment matrix, setting an evaluation factor weight coefficient, and carrying out consistency verification; and obtaining a comprehensive evaluation result, and obtaining a final evaluation result according to the maximum membership rule. Preferably, the multi-parameter fuzzy evaluation method comprises: the permeability, the effective thickness, the daily water injection amount, the water injection oil pressure, the apparent water absorption index and the unit thickness accumulated water injection amount are used as influence factors, a digital scoring system is established for each influence factor and scored, a weight coefficient is set for each influence factor, the score of each influence factor is multiplied by the matched weight coefficient, and the total score is counted to serve as a comprehensive evaluation result or a final evaluation result.
Preferably, the grade of the high-water-consumption zone is divided according to the production condition and the historical experience of the mine; that is, a high-water-consumption zone classification is performed, including: and (4) grading the high-water-consumption zone according to the production condition of the mine and historical experience. Preferably, the weight coefficient is determined in a vector form by adopting an analytic hierarchy process; that is, the method for constructing the judgment matrix and setting the evaluation factor weight coefficient by adopting the analytic hierarchy process comprises the following steps: and constructing a judgment matrix by adopting an analytic hierarchy process, and determining the weight coefficient of the evaluation factor in a vector form by adopting the analytic hierarchy process. Preferably, the grade of the high-water-consumption zone is divided according to the production condition and the historical experience of the mine field, and a comment set is established; preferably, the collection of comments includes a collection of words and a collection of numbers, the collection of words being of relative significance and the collection of numbers being of absolute significance. The identification of the high water consumption well points is often qualitative analysis to determine whether the high water consumption well points exist, so that a character set can be used in practice, and the comprehensive evaluation result and the final evaluation result are preferably embodied in a digital form so as to facilitate machine identification.
According toThe production condition and historical experience of a unit mine field in a northern museum in a west area of a certain North China oil field are graded to establish a comment set; and influence parameters of the high-water-consumption zone can be set according to the production condition of the mine field and historical experience, and the influence parameters are used as evaluation factors. The influencing parameters include: permeability, effective thickness, daily water injection amount, water injection oil pressure, apparent water absorption index and unit thickness accumulated water injection amount. The amount of water injected per unit thickness may also be referred to as the amount of water injected per unit thickness. Preferably, the influencing parameters include: average permeability, effective thickness, daily water injection amount, water injection oil pressure, apparent water absorption index and unit thickness accumulated water injection amount. Preferably, evaluation parameter grades can be divided according to the production condition of a mine field and historical experience, and the weight coefficients can be determined by an analytic hierarchy process. Preferably, the evaluation criteria corresponding to the evaluation factors one to one are used as the digital comment set. Preferably, the evaluation factors include influence parameters and unit indexes thereof. Preferably, the evaluation factor includes average permeability (10)-3μm2) Effective thickness (m), daily water injection (m)3) Water injection oil pressure (MPa), apparent water absorption index (m)3MPa) and cumulative fluence per unit thickness (10)4m3M), evaluation criteria corresponding to average permeability (10)-3μm2) Is 870, that is 870X 10-3μm2The effective thickness of the evaluation standard is 20m, and the daily water injection amount of the evaluation standard is 160m3The evaluation standard corresponds to a water injection oil pressure of 9MPa and the evaluation standard corresponds to an apparent water absorption index of 19m3Per MPa, the cumulative fluence per unit thickness corresponding to the evaluation standard is 8 multiplied by 104m3(ii)/m; preferably, the weighting factor corresponds to the average permeability (10)-3μm2) Is 0.075, the weight coefficient corresponds to an effective thickness (m) of 0.09, the weight coefficient corresponds to the daily water injection (m)3) Is 0.168, the weight coefficient is 0.088 corresponding to the water injection oil pressure (MPa), and the weight coefficient is corresponding to the apparent water absorption index (m)3The weight coefficient corresponds to the cumulative fluence per unit thickness (10)4m3And/m) was 0.324. The influence of the accumulated injection amount of the unit thickness is the largest, and the influence of the daily injection amount of the water injection well is lower by one level according to the water absorption index, namely the influence of the ratio of the daily injection amount of the water injection well to the wellhead pressure. If it is notFrom the viewpoint of improving the calculation efficiency, the influence of simplifying the calculation of the average permeability, the effective thickness, and the water injection oil pressure may be considered in practice. However, if the average permeability, the effective thickness and the water injection oil pressure are available, the accuracy of the comprehensive evaluation result or the final evaluation result is improved. One example of a water injection well rating table is shown in table 1 below.
| Factor of evaluation | Evaluation criteria | Weight coefficient |
| Average permeability (10)-3μm2) | 870 | 0.075 |
| Effective thickness (m) | 20 | 0.09 |
| Daily water injection quantity (m)3) | 160 | 0.168 |
| Water injection oil pressure (MPa) | 9 | 0.088 |
| Apparent water absorption index (m)3/MPa) | 19 | 0.255 |
| Cumulative fluence per unit thickness (10)4m3/m) | 8 | 0.324 |
TABLE 1 Water injection well grade evaluation Table
And (3) carrying out fine evaluation on 41 water wells of the unit mine field according to the 6 influence parameters: the evaluation results were classified into high water consumption well points and low water consumption well points, and then it was determined that 20 of the 41 wells were high water consumption wells. Some of the results of the multi-parameter fuzzy evaluation method are shown in table 2 below.
TABLE 2 result table of multi-parameter fuzzy evaluation method
Preferably, the multi-data qualitative and quantitative analysis for identifying the high water-consumption interval comprises: qualitatively identifying well data to determine high water-consumption intervals; wherein, the development position and the distribution rule of the possible high water-consumption interval are qualitatively judged from the data of the new core well, the new well and the old well; and quantitatively determining the high water-consuming interval from the water absorption profile, the layering test and the core washing characteristic. Preferably, qualitatively identifying well data to determine the high water-consumption interval; preliminarily and qualitatively judging the development position and the distribution rule of the possible high water-consumption layer section from the data of the new core well, the new well and the old well; preferably, qualitative identification is performed on the new core well in a core observation mode, wherein the core observation mode comprises strong water washing and positive rhythm bottom observation. In the process of positive rhythm oil layer water injection exploitation, injected water always protrudes forwards along a high-permeability zone at the bottom under the influence of gravity, the bottom is seriously washed, and a strong washing section appears at first. The washing thickness and the strong washing thickness are slowly increased along with the increase of the water injection times. Thickness and water of washingThe washing thickness is small, the average oil displacement efficiency of a strong water washing section is high, the in-layer use condition is very uneven, and the water flooding wave and the volume are small. Preferably, if the new core well meets at least one or all of the following core well judgment conditions, the existence of the high water-consumption interval is qualitatively judged; the core well determination conditions include: the relative high permeability section is distributed at the bottom of the positive rhythm superposition section, the development thickness proportion of the relative high permeability section is more than 15%, the average thickness of the relative high permeability section is more than 0.35 m, and the average permeability of the relative high permeability section is more than 5500 multiplied by 10-3μm2The grade difference between the average permeability of the relative high permeability section and the permeability of the adjacent reservoir is more than 2.5 times. Well, the logging curve analysis and the flooding characteristic evaluation are respectively carried out on the new drilling well. The well logging curve analysis comprises curve analysis by matching the natural potential amplitude rise with the resistivity amplitude difference fall; when the stratum and the mud are uniform and the lithology of the upper and lower surrounding rocks is the same, the natural potential curve is symmetrical to the center of the permeable stratum; the permeable layer is arranged at the top and bottom interfaces of the stratum, the natural potential change is the largest, and when the thickness of the stratum is larger than four times of the well diameter, the stratum interface can be determined by a curve half-width point; the natural potential of a permeable formation, for a mudstone baseline, may be deflected to the left or right, depending primarily on the relative mineralization of the formation water and mud filtrate. Lithology, the ratio of the salinity of formation water to the salinity of mud filtrate, formation thickness, borehole diameter, formation resistivity, mud resistivity, surrounding rock resistivity, and mud invasion zone all affect the natural potential curve. The resistivity of the oil layer is generally higher than that of the water layer if R400>R250 is oil layer, and the reverse is water layer. In addition, dual laterals are well logging methods that detect resistivity at different radial depths. In general, the presence of cracks causes a difference in the bi-lateral direction, and simulation experiments show that the bi-lateral values of low-angle cracks are negatively different, the bi-lateral values of high-angle cracks are positively different, and the bi-lateral amplitude difference is not only related to the occurrence of cracks, but also related to the opening degree of the cracks. The water flooding characteristic evaluation comprises the characteristic evaluation of strong water flooding, a middle water flooding section and the bottom of the thick layer, namely the geological characteristic analysis evaluation of the water flooding layer. Preferably, the new drilling decision conditions include: the natural potential amplitude in the well log is increased by at least one time, and/or the resistivity amplitude difference is reduced to80 percent less; then the existence of the high water-consuming interval is qualitatively judged. Preferably, the natural potential (SP) curve amplitude and combination analysis is carried out on the old well, and particularly the SP curve amplitude and combination analysis is carried out in the river phase dominant energy phase section. And if the natural potential amplitude of the old well is greater than the preset natural potential amplitude threshold value, the existence of the high water consumption interval is qualitatively judged. Preferably, the high water-consumption interval is determined by qualitatively identifying well information; or, qualitatively judging the development position and the distribution rule of the possible high water-consumption interval from the data of the new core well, the new well and the old well; the method comprises the following steps: if the new core well meets at least one or all of the following core well judgment conditions, qualitatively judging that the high water consumption interval exists; the core well determination conditions include: the relative high permeability section is distributed at the bottom of the positive rhythm superposition section, the development thickness proportion of the relative high permeability section is more than 15%, the average thickness of the relative high permeability section is more than 0.35 m, and the average permeability of the relative high permeability section is more than 5500 multiplied by 10-3μm2The grade difference between the average permeability of the relative high permeability section and the permeability of a nearby reservoir is more than 2.5 times; respectively carrying out logging curve analysis and flooding characteristic evaluation on the newly drilled well; and (5) carrying out natural potential curve amplitude and combination analysis on the old well. Other embodiments are analogized and will not be described in detail below.
From the core analysis of a core well GDX4J13 at the main river channel part in the north middle part of the west area of a certain unit mine field, the relative hypertonic sections are distributed at the bottom of the positive rhythm superposition section, the development thickness proportion of the relative hypertonic sections is 15-25%, and the average thickness of the relative hypertonic sections is 0.48 m. The average permeability of the relative high permeability section is 6000 multiplied by 10-3μm2The permeability grade difference with the adjacent reservoir is more than 3 times; as shown in table 3 below.
TABLE 3 core test Permeability of GDX4J13 wells
And (3) analyzing a logging curve of the new well drilling: the natural potential amplitude rises and the resistivity amplitude difference falls. From the well logging curve analysis of paired new drilling pair sub wells GDX5XJ131 and GDX5-131, the distance between two wells is 50 meters, GDX5-131 is that the well is put into operation after more than twenty years of drilling, GDX5XJ131 is that the core well is drilled in recent years, and comparing the two sub wells, it can be seen that the amplitude of the natural potential of the new drilling well is increased by 7 compared with that of the old well GDX5-131, and the difference is about one time, and as for the resistivity, the amplitude difference of the new drilling well is reduced by about 80 compared with that of the old well, and the difference is about ten times. The water flooding shows that the mud in the stratum is scoured and extracted, the natural potential amplitude is increased, and the oil-containing well is greatly reduced, so that the water washing degree is high. The larger the difference between the two amplitudes, the more serious the water consumption is proved. The higher the degree of flooding, the more developed the water-consuming interval.
The larger the original natural potential amplitude of the old well is, the larger the energy of the ancient deposition environment is, the larger the granularity and the pore space of the deposited sandstone are, the good original pore permeation condition is, and the possibility of forming a high water consumption interval in the later development stage is large.
Quantitatively determining a high water-consumption interval from a water absorption profile, a layering test and core washing characteristics; preferably, the water injection well relative water burst factor is as shown in fig. 4; preferably, the water injection layer water absorption index burst coefficient is shown in figure 5; preferably, the permeability and the oil displacement efficiency corresponding to the water washing grade are shown in fig. 6; preferably, the high water consumption interval is formed by the relative water absorption of the single layer being more than 2.0 times of the average relative water absorption of the single layer of the whole well, the high water consumption interval is formed by the water absorption index of the single layer being more than 1.5 times of the average water absorption index of the single layer of the whole well, and/or the high water consumption interval is formed by the oil displacement efficiency being more than 40%. Preferably, the high water consumption interval is formed by the relative water absorption of the single layer which is more than 2.0 times of the average relative water absorption of the single layer of the whole well, the high water consumption interval is formed by the water absorption index of the single layer which is more than 1.5 times of the average water absorption index of the single layer of the whole well, or the high water consumption interval is formed by the oil displacement efficiency which is more than 40%. Alternatively, from the comprehensive analysis of all the well data of a unit mine site, as shown in fig. 7, the single-layer relative water absorption is more than 2.0 times of the average relative water absorption of the whole well single-layer, the single-layer water absorption index is more than 1.5 times of the average water absorption of the whole well single-layer, and the oil displacement efficiency is more than 40%, the water-consuming interval is the high water-consuming interval. Often these three are co-located.
Preferably, the determining the distribution of the high water-consuming zone in combination with the seepage resistance analysis comprises: determining the plane relevance of the high water consumption layer section according to static factors; determining the vertical relevance of the high water consumption layer section according to dynamic factors; determining the existence of a high water consumption layer zone according to the plane relevance and the vertical relevance of the high water consumption layer section; analyzing and identifying the dominant water flow direction in the high water consumption zone by combining seepage resistance; and determining the distribution of the high water consumption zone according to the dominant water flow direction. Preferably, the static factors include: the method comprises the following steps of (1) inter-well energy phase type, thickness of communicated sandstone, physical properties of a reservoir, well spacing, number of communicated wells and logging flooding; the dynamic factors include: water injection speed, cumulative injection amount and injection strength. Preferably, the existence of the high water-consumption layer zone is determined according to the plane correlation and the vertical correlation of the high water-consumption layer section, and the method further comprises the following steps: testing the plane relevance and the vertical relevance of the high water-consumption layer section by adopting radioactive labeling microspheres with the diameter of less than 2mm to obtain the recovery time and the recovery quantity of the high water-consumption layer section, and determining the existence of a high water-consumption layer zone according to the recovery time and the recovery quantity; and, combine the seepage flow resistance analysis to judge the dominant rivers direction in the high water consumption zone, still include: and the recovery time and the recovery quantity are matched to judge the direction of the dominant water flow in the high-water-consumption zone. Preferably, radiolabeled microspheres having a diameter of less than 1mm are used, a specific amount of the radiolabeled microspheres are put in a batch from a water injection well, the radiolabeled microspheres are recovered in a production well, the recovery time and the recovery amount of the radiolabeled microspheres are obtained, and the presence of a high-water-consumption zone is determined based on the recovery time and the recovery amount. The batch analysis has the function of simultaneously researching the speed change trend while analyzing and researching the direction of the dominant water flow, and quantitatively analyzing the dominant water flow speed on the premise of qualitatively determining the high water consumption zone, so that the distribution of the high water consumption zone is more accurately determined. Because natural radionuclides generally have longer half-lives, artificial radionuclides may be selected for use in embodiments of the invention; the planar and vertical correlations of the high water-consuming interval can also be tested instead using fluorescently labeled microspheres. Preferably, the radiolabeled microspheres or fluorescently labeled microspheres are less than 1mm in diameter. Preferably, the number of the radioactive or fluorescent microspheres is set in accordance with the well distance, the number of the communication wells, and the injection amount, and the larger the well distance, the larger the number of the communication wells, and the larger the injection amount. The radioactive labeled microspheres are helpful for analyzing the predominant water velocity in a high water-consumption zone and can be put in a plurality of batches in sequence, while the fluorescent labeled microspheres have obvious qualitative action and are difficult to reflect time factors to carry out the plurality of batches in sequence.
Preferably, the determination of the predominant water flow direction in the high water-consumption zone by combining the seepage resistance analysis comprises: the oil reservoir is supposed to be connected with a non-zone (facies zone) on a plane and connected with a small layer in a vertical direction, based on a seepage mechanics theory and an oil reservoir engineering method, by applying Darcy's law and a water and electricity similarity principle, from a water well, seepage resistance, water well strength and flow indexes among any small layer and any oil-water well are calculated, and a dominant water flow direction is identified. Preferably, the determination of the predominant water flow direction in the high water-consumption zone by combining the seepage resistance analysis comprises: starting from the water well, calculating the seepage resistance, the water well strength and the flow index of any small layer and any oil-water well, and judging the dominant water flow direction according to the seepage resistance, the water well strength and the flow index. Preferably, the dominant water flow direction is determined according to the seepage resistance, the water well strength and flow index and the dynamic factors. Preferably, the distribution of the high water consumption zone is determined according to the change trend of the direction and the speed of the dominant water flow. Preferably, determining the distribution of the high water consumption zone according to the dominant water flow direction comprises: and determining the distribution of the high-water-consumption zone according to the dominant water flow direction and the reservoir energy zone. The reservoir energy zone (phase zone) is also the distribution zone of the reservoir energy.
In one embodiment of the invention, a unit mining field in a northern museum in a western area of a certain oil field in North China is taken as a research object, and a method for recognizing a high-water-consumption zone by fully utilizing dynamic data is created by comprehensively utilizing measures such as dynamic monitoring, reservoir layer fine description, logging secondary interpretation, an oil reservoir engineering method, a numerical simulation technology and the like. The method has a good effect in the practical application of a certain unit in a northern museum in the west region, theoretically determines that the distribution of the high-water-consumption zone conforms to the verification result, provides a basis for the formulation of a countermeasure for the high-water-consumption zone, provides a practical application treatment means for treating the high-water-consumption zone by hole filling and layer regulation, and provides guidance and reference for the development and remediation of oil reservoirs of the same type.
Preferably, the identification system of the high water consumption layer belt is provided with functional modules for executing the identification method in any embodiment. Preferably, the identification system of the high-water-consumption layer belt is realized by adopting the identification method in any embodiment. Preferably, the identification system of the high water-consumption zone comprises a well point identification function module, an interval identification function module and a zone identification function module; the well point identification function module is used for identifying a high-water-consumption well point by a multi-parameter fuzzy evaluation method; the layer section identification function module is used for qualitatively and quantitatively analyzing and identifying high water consumption layer sections by multiple data; the layer band identification function module is used for determining the distribution of the high-water-consumption layer band by combining seepage resistance analysis. Other embodiments are analogized and will not be described in detail below.
Further, the embodiment of the invention also comprises a method and a system for identifying the high-water-consumption zone formed by mutually combining the technical characteristics of the above embodiments.
The technical features mentioned above are combined with each other to form various embodiments which are not listed above, and all of them are regarded as the scope of the present invention described in the specification; also, modifications and variations may be suggested to those skilled in the art in light of the above teachings, and it is intended to cover all such modifications and variations as fall within the true spirit and scope of the invention as defined by the appended claims.
Claims (10)
1. A method of identifying a high-water-consumption zone, comprising:
identifying a high-water-consumption well point by a multi-parameter fuzzy evaluation method;
multi-data qualitative and quantitative analysis and identification of the high water consumption layer section;
and determining the distribution of the high water consumption zone by combining seepage resistance analysis.
2. The identification method of claim 1, wherein the multi-parameter comprises: permeability, effective thickness, daily water injection amount, water injection oil pressure, apparent water absorption index and unit thickness accumulated water injection amount.
3. The identification method according to claim 1, wherein the multi-parameter fuzzy evaluation method comprises:
setting high water consumption zone influence parameters and determining evaluation factors; wherein the influencing parameters include: permeability, effective thickness, daily water injection amount, water injection oil pressure, apparent water absorption index and unit thickness accumulated water injection amount;
carrying out high-water-consumption zone grading, and establishing a comment set;
associating the membership degree of the evaluation factors to each factor in the comment set, and establishing an evaluation decision matrix;
adopting an analytic hierarchy process to construct a judgment matrix, setting an evaluation factor weight coefficient, and carrying out consistency verification;
and obtaining a comprehensive evaluation result, and obtaining a final evaluation result according to the maximum membership rule.
4. The identification method according to claim 3, characterized in that the high-water-consumption zone is graded according to the production condition of a mine field and historical experience; alternatively, the weighting coefficients are determined in the form of vectors using a hierarchy analysis method.
5. The identification method of claim 1, wherein the multi-profile qualitative and quantitative analysis identifying the high water-consuming interval comprises:
qualitatively identifying well data to determine high water-consumption intervals; wherein, the development position and the distribution rule of the possible high water-consumption interval are qualitatively judged from the data of the new core well, the new well and the old well;
and quantitatively determining the high water-consuming interval from the water absorption profile, the layering test and the core washing characteristic.
6. The identification method of claim 1, wherein the determining a high water-consumption zone distribution in combination with a seepage resistance analysis comprises:
determining the plane relevance of the high water consumption layer section according to static factors;
determining the vertical relevance of the high water consumption layer section according to dynamic factors;
determining the existence of a high water consumption layer zone according to the plane relevance and the vertical relevance of the high water consumption layer section;
analyzing and identifying the dominant water flow direction in the high water consumption zone by combining seepage resistance;
and determining the distribution of the high water consumption zone according to the dominant water flow direction.
7. The identification method of claim 6, wherein the static factors comprise: the method comprises the following steps of (1) inter-well energy phase type, thickness of communicated sandstone, physical properties of a reservoir, well spacing, number of communicated wells and logging flooding;
the dynamic factors include: water injection speed, cumulative injection amount and injection strength.
8. The identification method according to claim 7, wherein after determining the distribution of the high-water-consumption zone, a verification is performed.
9. The identification method of claim 8, wherein the saturation data is used to verify the distribution of the high water-consumption zone.
10. An identification system for high-water-consumption layer strips, characterized by functional modules for carrying out the identification method according to any one of claims 1 to 9.
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| Publication number | Priority date | Publication date | Assignee | Title |
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| CN113505507A (en) * | 2021-06-29 | 2021-10-15 | 中国石油化工股份有限公司 | Method for identifying high water consumption zone between injection and production wells |
Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102146788A (en) * | 2011-03-30 | 2011-08-10 | 中国石油化工股份有限公司 | Method for enhancing recovery ratio through three-dimensional streamline regulation of water drive reservoir |
| CN102758612A (en) * | 2012-08-01 | 2012-10-31 | 张福连 | Multi-parameter layered testing method |
| CN102797442A (en) * | 2011-05-27 | 2012-11-28 | 中国石油化工股份有限公司 | Deep fluid diversion method |
| CN105626010A (en) * | 2016-03-16 | 2016-06-01 | 中国石油大学(华东) | Method for reasonably dividing water injection layer sections in segmented water injection well |
| CN106295095A (en) * | 2015-05-15 | 2017-01-04 | 中国石油化工股份有限公司 | New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity |
| CN106501870A (en) * | 2016-09-30 | 2017-03-15 | 中国石油天然气股份有限公司 | Method for identifying relatively high-quality reservoir of lake-phase compact mesochite |
| CN107448197A (en) * | 2017-08-31 | 2017-12-08 | 西北大学 | A kind of method of marine facies sandstone oil reservoir fluid-channeling channel space development quantitative judge |
| CN107766593A (en) * | 2016-08-18 | 2018-03-06 | 郭强 | Stratum fracture hole development individual well Profile Modeling method |
| CN109002574A (en) * | 2018-06-06 | 2018-12-14 | 西安石油大学 | A kind of stratified reservoir pulse period waterflooding extraction index prediction technique |
| CN109102180A (en) * | 2018-07-30 | 2018-12-28 | 北京大学 | The comprehensive parameters evaluation method of the double dessert evaluations of tight sandstone reservoir |
| CN109209308A (en) * | 2018-09-07 | 2019-01-15 | 中国石油化工股份有限公司 | A kind of method of ultra-high water cut reservoir waterflooding development |
| CN109886559A (en) * | 2019-01-25 | 2019-06-14 | 中国石油天然气集团有限公司 | A kind of oil field Water Flooding Layer Fine structural interpretation and remaining oil comprehensive estimation method |
| CN110096815A (en) * | 2019-05-05 | 2019-08-06 | 中国石油大港油田勘探开发研究院 | A kind of new method of flow field characterization |
| CN110162922A (en) * | 2019-06-03 | 2019-08-23 | 西南石油大学 | A kind of integrated recognition method of water-drive pool dominant flowing path |
| CN110288258A (en) * | 2019-07-02 | 2019-09-27 | 中国石油化工股份有限公司 | A kind of high water-cut reservoir Tapping Residual Oil method |
| CN110320558A (en) * | 2019-06-21 | 2019-10-11 | 中国石油大学(华东) | It is a kind of based on rock-change-electricity-shake clastic rock unconformity structure body recognition methods |
-
2020
- 2020-12-09 CN CN202011429465.0A patent/CN112561279B/en active Active
Patent Citations (16)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN102146788A (en) * | 2011-03-30 | 2011-08-10 | 中国石油化工股份有限公司 | Method for enhancing recovery ratio through three-dimensional streamline regulation of water drive reservoir |
| CN102797442A (en) * | 2011-05-27 | 2012-11-28 | 中国石油化工股份有限公司 | Deep fluid diversion method |
| CN102758612A (en) * | 2012-08-01 | 2012-10-31 | 张福连 | Multi-parameter layered testing method |
| CN106295095A (en) * | 2015-05-15 | 2017-01-04 | 中国石油化工股份有限公司 | New method based on Conventional Logs prediction low permeability sandstone reservoir production capacity |
| CN105626010A (en) * | 2016-03-16 | 2016-06-01 | 中国石油大学(华东) | Method for reasonably dividing water injection layer sections in segmented water injection well |
| CN107766593A (en) * | 2016-08-18 | 2018-03-06 | 郭强 | Stratum fracture hole development individual well Profile Modeling method |
| CN106501870A (en) * | 2016-09-30 | 2017-03-15 | 中国石油天然气股份有限公司 | Method for identifying relatively high-quality reservoir of lake-phase compact mesochite |
| CN107448197A (en) * | 2017-08-31 | 2017-12-08 | 西北大学 | A kind of method of marine facies sandstone oil reservoir fluid-channeling channel space development quantitative judge |
| CN109002574A (en) * | 2018-06-06 | 2018-12-14 | 西安石油大学 | A kind of stratified reservoir pulse period waterflooding extraction index prediction technique |
| CN109102180A (en) * | 2018-07-30 | 2018-12-28 | 北京大学 | The comprehensive parameters evaluation method of the double dessert evaluations of tight sandstone reservoir |
| CN109209308A (en) * | 2018-09-07 | 2019-01-15 | 中国石油化工股份有限公司 | A kind of method of ultra-high water cut reservoir waterflooding development |
| CN109886559A (en) * | 2019-01-25 | 2019-06-14 | 中国石油天然气集团有限公司 | A kind of oil field Water Flooding Layer Fine structural interpretation and remaining oil comprehensive estimation method |
| CN110096815A (en) * | 2019-05-05 | 2019-08-06 | 中国石油大港油田勘探开发研究院 | A kind of new method of flow field characterization |
| CN110162922A (en) * | 2019-06-03 | 2019-08-23 | 西南石油大学 | A kind of integrated recognition method of water-drive pool dominant flowing path |
| CN110320558A (en) * | 2019-06-21 | 2019-10-11 | 中国石油大学(华东) | It is a kind of based on rock-change-electricity-shake clastic rock unconformity structure body recognition methods |
| CN110288258A (en) * | 2019-07-02 | 2019-09-27 | 中国石油化工股份有限公司 | A kind of high water-cut reservoir Tapping Residual Oil method |
Non-Patent Citations (3)
| Title |
|---|
| 刘晓东等: "川东石炭系碳酸盐岩储层裂缝发育模式的测井识别方法", 《内蒙古石油化工》 * |
| 康玲珍；李 辉；文红叶；赵永红；何卫林: "《双河油田V上层系高耗水条带识别方法研究》", 《石油地质与工程》 * |
| 王孟博等: "模糊综合评判法识别低效循环井研究", 《科技资讯》 * |
Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113505507A (en) * | 2021-06-29 | 2021-10-15 | 中国石油化工股份有限公司 | Method for identifying high water consumption zone between injection and production wells |
| CN113505507B (en) * | 2021-06-29 | 2022-09-09 | 中国石油化工股份有限公司 | Method for identifying high water consumption zone between injection and production wells |
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Effective date of registration: 20231212 Address after: 100020 No. 22 North Main Street, Chaoyang District, Beijing, Chaoyangmen Patentee after: CHINA PETROLEUM & CHEMICAL Corp. Patentee after: SINOPEC SHENGLI OILFIELD Co. Address before: 257231 Gudao Town, Hekou District, Shandong, Dongying Patentee before: GUDAO OIL PRODUCTION FACTORY, SINOPEC SHENGLI OILFIELD Co. |