CN111550239B - Segmented variable parameter abnormal well-model data coupling correction method - Google Patents
Segmented variable parameter abnormal well-model data coupling correction method Download PDFInfo
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- E—FIXED CONSTRUCTIONS
- E21—EARTH DRILLING; MINING
- E21B—EARTH DRILLING, e.g. DEEP DRILLING; OBTAINING OIL, GAS, WATER, SOLUBLE OR MELTABLE MATERIALS OR A SLURRY OF MINERALS FROM WELLS
- E21B49/00—Testing the nature of borehole walls; Formation testing; Methods or apparatus for obtaining samples of soil or well fluids, specially adapted to earth drilling or wells
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- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02A—TECHNOLOGIES FOR ADAPTATION TO CLIMATE CHANGE
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Abstract
The invention relates to the technical field of oil reservoir development, in particular to a segmented variable parameter abnormal well-model data coupling correction method in modular building research. The method comprises the following steps: obtaining geological stratification data of all wells in a target work area; determining a target value; calculating the difference between the single well layering boundary depth and the intersection point depth of the well layer in the correction target database; calculating a correction coefficient; the invention provides a segment variable parameter abnormal well-model data coupling correction method, which can realize batch correction of multiple wells, multiple layers of segments and multiple depth related data, adopts the same correction coefficient for the multiple attribute data of the same layer segment, ensures that all layering points are exactly matched, continuously corrects the data in the segment, does not generate layer channeling or overlapping errors, eliminates sand body, attribute, perforation and measure layer segment errors, and improves the reliability of research results.
Description
Technical Field
The invention relates to the technical field of oil reservoir development, in particular to a segmented variable parameter abnormal well-model data coupling correction method in modular building research.
Background
At present, old oil fields in China enter the development stages of high water content and extra high water content, underground oil-water distribution is highly complicated and scattered, the difficulty of fine mining is continuously increased, and accurate quantification of the distribution of residual oil in reservoirs in different development stages is a key for improving the development effect of the oil fields. The modular modeling technology can realize quantitative description of static reservoirs and dynamic development processes to form quantitative results of residual oil in different development stages, but in the modeling process, individual well point data and models are deviated due to factors such as well data, faults and algorithms, and the like, so that final sand bodies, attributes and perforation data are wrong, and the reliability of numerical simulation results is affected.
The data correction method related to the improvement of model accuracy in the prior published literature and patent has the following defects:
(1) The early correction of well data is only related to test equipment and environment, geological model results are not associated, and the accurate matching of the construction and attribute related data and the model cannot be ensured;
(2) The conventional well-model matching correction method adopts a 'moving' data segment mode, and well segment data are moved to corresponding layers according to model layers, so that sandstone channeling layers or overlapping errors can be caused by the method, and the accuracy of static attribute model achievements and the reliability of numerical simulation achievements are affected. The well-model matching precision is improved, reliable residual oil quantification results are provided for oilfield development, and an accurate and reasonable well-model coupling correction method is formed by urgent research.
Disclosure of Invention
First, the technical problem to be solved
The invention provides a segmented variable parameter abnormal well-model data coupling correction method, which aims to overcome the defects that sandstone channeling or overlapping errors are easy to cause, the accuracy of static attribute model results and the reliability of numerical simulation results are affected, the matching degree of a well-model is low, and the like in the prior art.
(II) technical scheme
In order to solve the problems, the invention provides a segmented variable parameter abnormal well-model data coupling correction method, which comprises the following steps:
s1, acquiring geological stratification data of all wells in a target work area, wherein the data are well coordinates, track and stratification limit data and data to be corrected;
wherein the corrected data comprises: sandstone thickness, effective thickness, pore-penetration properties, perforations, and log curves;
step S2, determining a target value, which includes: establishing a construction model by using normal well layering data of a research area, calculating an intersection point depth value of a well track to be corrected and a layer surface of the construction model of a layer section to be corrected, taking the intersection point depth value as a target value of subsequent correction, and establishing a correction target database, wherein a data field comprises a well name, a unit name and an intersection point depth value;
s3, calculating a difference value between the depth of the single-well layering boundary of the well and the depth of the intersection point of the well layer in the correction target database, and determining the abnormal well layer to be corrected when the difference value is larger than a preset threshold value;
step S4, calculating a correction coefficient, which specifically comprises the following steps:
s41, calculating the depth difference between the top and the bottom of the well interval to be corrected, and recording the depth difference as lwi;
step S42, calculating a length value of the model layer surface corresponding to the to-be-corrected layer section, which is intercepted on the well track, and recording the length value as lmi;
step S43, defining lmi/lwi as a correction coefficient of the interval, and marking the correction coefficient as delta;
calculating the sectional correction coefficients delta i of all the abnormal well layers to be corrected according to the method;
step S5, intra-segment depth related data correction, which comprises: carrying out piecewise continuous correction on data to be corrected by utilizing a formula according to the correction coefficient to form a correction result accurately coupled with the model;
wherein:
A x : the original depth value of the object to be corrected in the section to be corrected;
B x : objects to be corrected in the section to be correctedResults depth value of (2);
A 1 : layer top depth of the section to be corrected;
B 1 : layer top target depth of the section to be corrected;
and S6, updating the model, namely reloading corrected various data, updating the microphase model, the lithology model and the physical model, and combining corrected perforation section data to form a high-precision numerical simulation model.
Preferably, the difference between the single well layering limit depth of the calculated well and the intersection point depth of the well layer in the correction target database is determined to be the abnormal well layer to be corrected when the difference is greater than 1 m.
Preferably, the correction interval is a sandstone group, a small layer, or a single sand layer.
(III) beneficial effects
The invention provides a sectional variable parameter abnormal well-model data coupling correction method, which can realize batch correction of multiple wells, multiple intervals and multiple depth related data, adopts the same correction coefficient for the multi-attribute data of the same interval, ensures that all the layering points are precisely matched, continuously corrects the data in the interval, does not generate layer channeling or overlapping errors, eliminates sand bodies, attributes, perforation and measure interval errors, improves the reliability of research results, and has great application value for efficient development of oil fields.
Drawings
FIG. 1 is a flow chart of a method for coupling correction of segmented parametric anomaly well-model data in accordance with an embodiment of the present invention;
FIG. 2 is a schematic diagram of correction of positive and negative anomaly coupling of a well-model in an embodiment of the invention;
FIG. 3 is a schematic diagram of well-model coupled continuous variable parameter correction in accordance with an embodiment of the present invention;
FIG. 4 is a statistical histogram of the number of well-simulated coupled outlier well layers in an embodiment of the present invention;
FIG. 5 is a statistical chart of correction amounts of attribute segments according to an embodiment of the present invention;
FIG. 6 is a statistical diagram of the correction errors of the attribute segments according to an embodiment of the present invention.
Detailed Description
The present invention will be described in detail below with reference to the accompanying drawings and examples.
The invention provides a method for coupling and correcting sectional variable parameter abnormal well-model data, which comprises the following steps:
(1) Acquiring intersection point data of a target work area well layering, depth, a model construction layer and a well track, determining a single well correction segmentation number according to the target area scale, data quality and model layering condition, and segmenting according to an oil layer group, a sandstone group or a subdivision deposition unit, wherein the finer the segmentation is, the higher the corrected result precision is;
(2) Establishing a corresponding relation between single well interpretation layering and modeling construction layer depth, calculating an error between corresponding layering points, determining a well to be corrected and a corresponding layer section according to a modeling modulus precision requirement, and calculating an intra-section correction coefficient according to the segmented and established well layers;
(3) The coupling correction of depth related data such as well track, layering points, sandstone top depth, sandstone thickness, effective top depth, effective thickness, perforation, measure and the like is realized by using the correction coefficients in the segments, so that the accurate coupling of a well-model is realized;
(4) And reloading the corrected lithology and attribute related data into modeling software, establishing an oil reservoir attribute spatial distribution model by using the data after accurate matching, and directly applying corrected perforation and measure data to numerical simulation research.
As shown in FIG. 1, the implementation of the invention provides a method for correcting the coupling of segmented variable parameter abnormal well-model data, which comprises the following steps:
step S1, data preparation;
preparing well coordinates, trajectory and layering limit data, and other data to be corrected, including but not limited to depth-related data such as sandstone thickness, effective thickness, pore-penetration properties, perforations, log curves, etc.;
s2, determining a target value;
establishing a construction model by using normal well layering data of a research area, calculating an intersection point depth value of a well track to be corrected and a layer surface of the construction model of a layer section to be corrected, taking the intersection point depth value as a target value of subsequent correction, and establishing a correction target database, wherein a data field comprises a well name, a unit name and an intersection point depth value;
s3, screening an abnormal well layer;
calculating the difference between the single well layering limit depth and the intersection point depth of the well layers in the correction target database, and determining the abnormal well layers to be corrected when the difference is larger than a preset threshold value;
s4, calculating a correction coefficient;
step S41, calculating the depth difference between the top and the bottom of the well interval to be corrected, namely lwi
Step S42, calculating the length value of the model layer surface corresponding to the pseudo-correction layer section, which is intercepted on the well track and is recorded as lmi
Step S43, defining lmi/lwi as a correction coefficient of the interval, and marking the correction coefficient as delta;
calculating the sectional correction coefficients delta i of all the abnormal well layers to be corrected according to the method;
s5, correcting depth-related data in the section;
according to the correction coefficient, carrying out piecewise continuous correction on data (which can include but is not limited to sandstone thickness, effective thickness, pore-penetration attribute, perforation, logging curve and other depth-related data) to be corrected by using the following formula to form a correction result accurately coupled with the model;
A x : the original depth value of the object to be corrected in the section to be corrected;
B x : a resulting depth value of the object to be corrected in the section to be corrected;
A 1 : layer top depth of the section to be corrected;
B 1 : layer top target depth of section to be corrected
S6, updating a model;
and reloading the corrected various data, updating the microphase model, the lithology model and the physical model, and combining the corrected perforation section data to form a high-precision numerical simulation model.
And when the difference value is larger than 1m, determining the abnormal well layer to be corrected.
Wherein the correction layer section is a sandstone group, a small layer or a single sand layer.
The invention is further described below with reference to the accompanying drawings:
fig. 1 is a flow chart of a method for coupling correction of sectional variable parameter abnormal well-model data, which uses a model layer result as a basis, calculates a sectional correction coefficient by establishing a corresponding relation between a well layer and the model layer by sections, and continuously corrects single well Duan Naxiang closed data by adopting a unified algorithm.
FIG. 2 is a schematic diagram of well-model positive and negative anomaly coupling correction, wherein due to factors such as well unit layering data, trajectory data or interpolation algorithm, a strict over-point constraint algorithm can generate structural anomalies in individual near-well point areas, a certain offset can be allowed to avoid the phenomenon, smooth and reasonable simulation results are generated, but the result level can deviate from the actual layering of the well, coupling correction must be performed at a later stage, and accurate coupling of the well-model is ensured.
FIG. 3 is a schematic diagram of well-model coupling continuous variable parameter correction, and establishes a corresponding relation between single well layering points and a construction model layer to form a reasonable segmented data result, and calculates correction coefficients in segments respectively through error amounts.
FIG. 4 is a statistical histogram of the number of well-simulated coupled outliers, where errors between single well stratification points and model formation planes affect the accuracy of microphase, lithology and various attribute distribution models, and even produce erroneous results, most of which require further correction for near 10% of the well layers from the deviation statistics.
Fig. 5 is a statistical chart of correction amounts of attribute segments, and the correction amount of thickness segments is about 13% from the results of coupling correction of sandstone, sand type and effective thickness of a certain block.
FIG. 6 is a statistical graph of correction errors of attribute segments, wherein the variation errors of various thicknesses before and after correction are not more than one thousandth, and the variation errors do not have great influence on oil reservoir reserves and flow characteristics.
The above embodiments are only for illustrating the present invention, not for limiting the present invention, and various changes and modifications may be made by one of ordinary skill in the relevant art without departing from the spirit and scope of the present invention, and therefore, all equivalent technical solutions are also within the scope of the present invention, and the scope of the present invention is defined by the claims.
Claims (3)
1. A method for coupling and correcting sectional variable parameter abnormal well-model data is characterized by comprising the following steps:
s1, acquiring geological stratification data of all wells in a target work area, wherein the data are well coordinates, track and stratification limit data and data to be corrected;
wherein the corrected data comprises: sandstone thickness, effective thickness, pore-penetration properties, perforations, and log curves;
step S2, determining a target value, which includes: establishing a construction model by using normal well layering data of a research area, calculating an intersection point depth value of a well track to be corrected and a layer surface of the construction model of a layer section to be corrected, taking the intersection point depth value as a target value of subsequent correction, and establishing a correction target database, wherein a data field comprises a well name, a unit name and an intersection point depth value;
s3, calculating a difference value between the single well layering boundary depth of the well and the intersection point depth of the well layer in the correction target database, and determining the difference value as an abnormal well layer to be corrected when the difference value is larger than a preset threshold value;
step S4, calculating a correction coefficient, which specifically comprises the following steps:
s41, calculating the depth difference between the top and the bottom of the well interval to be corrected, and recording the depth difference as lwi;
step S42, calculating a length value of the model layer surface corresponding to the to-be-corrected layer section, which is intercepted on the well track, and recording the length value as lmi;
step S43, defining lmi/lwi as a correction coefficient of the interval, and marking the correction coefficient as delta;
calculating the sectional correction coefficients delta of all the abnormal well layers to be corrected according to the method i ；
Step S5, intra-segment depth related data correction, which comprises: carrying out piecewise continuous correction on data to be corrected by utilizing a formula according to the correction coefficient to form a correction result accurately coupled with the model;
Bx＝B 1 +δ×(A x -A 1 )
wherein:
A x : the original depth value of the object to be corrected in the section to be corrected;
B x : a resulting depth value of the object to be corrected in the section to be corrected;
A 1 : layer top depth of the section to be corrected;
B 1 : layer top target depth of the section to be corrected;
s6, updating a model; the method comprises the steps of reloading corrected data, updating a microphase model, a lithology model and a physical model, and combining corrected perforation section data to form a high-precision numerical simulation model.
2. The method for coupling and correcting the segmented variable parameter abnormal well-model data according to claim 1, wherein the difference between the single well layering limit depth of the calculated well and the intersection point depth of the well layer in the correction target database is determined to be the abnormal well layer to be corrected when the difference is larger than 1 m.
3. The method for correcting the coupling of the segmented variable parameter abnormal well-model data according to claim 1, wherein the correction layer segments are sandstone groups, small layers or single sand layers.
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