CN109345082A - Well location surveys quantification numerical value screening and evaluating system - Google Patents
Well location surveys quantification numerical value screening and evaluating system Download PDFInfo
- Publication number
- CN109345082A CN109345082A CN201811041282.4A CN201811041282A CN109345082A CN 109345082 A CN109345082 A CN 109345082A CN 201811041282 A CN201811041282 A CN 201811041282A CN 109345082 A CN109345082 A CN 109345082A
- Authority
- CN
- China
- Prior art keywords
- square
- score
- earth
- calculated
- well
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Classifications
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q10/00—Administration; Management
- G06Q10/06—Resources, workflows, human or project management; Enterprise or organisation planning; Enterprise or organisation modelling
- G06Q10/063—Operations research, analysis or management
- G06Q10/0639—Performance analysis of employees; Performance analysis of enterprise or organisation operations
-
- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06Q—INFORMATION AND COMMUNICATION TECHNOLOGY [ICT] SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES; SYSTEMS OR METHODS SPECIALLY ADAPTED FOR ADMINISTRATIVE, COMMERCIAL, FINANCIAL, MANAGERIAL OR SUPERVISORY PURPOSES, NOT OTHERWISE PROVIDED FOR
- G06Q50/00—Systems or methods specially adapted for specific business sectors, e.g. utilities or tourism
- G06Q50/02—Agriculture; Fishing; Mining
Abstract
The invention discloses a kind of well locations to survey quantification numerical value screening and evaluating system, is related to petroleum natural gas exploration field, its step are as follows: a, carrying out digitized processing to prospecting data, the prospecting data refers to live earth's surface elevation map；B, rectangular or square piecemeal is carried out to live earth's surface elevation map；C, the earth's surface landform score of each square is calculated；D, the prohibitive building score of each square is calculated；E, the water source road score of each square is calculated；F, the comprehensive score of each square is calculated according to the earth's surface landform score of each square, prohibitive building scoring and water source road score, be ranked up, assess each square if appropriate for building well site.Using this method, indoor reconnaissance is inefficient during having filled up current well site deployment, unclear to scene understanding, increases the deficiency for surveying workload on the spot, improves the efficiency of indoor selection well location.
Description
Technical field
The present invention relates to petroleum natural gas exploration field, specifically relates to a kind of well location and survey quantification numerical value sieve
Select evaluation method.
Background technique
Prior art scenario: finding during shale gas exploration and development in river south, and southern Sichuan landform surface conditions are complicated,
Surface water, people occupy, and coal mine equal distribution is uneven, are often limited to surface conditions during selecting well well spacing.Ground is chosen at this stage
The basic procedure of well location is to survey determining cloth well point by indoor observation satellite photo combination scene on the basis of well pattern control
Position.Earth's surface in current well location exploration process due to being difficult to during indoor design through satellite photo quantitative description field
Landform needs to survey work by a large amount of scenes from the distance between local-style dwelling houses, road etc. so that indoor reconnaissance is inefficient
Point is determined again later, so that well location chooses and the whole efficiency of deployment process reduces.
The surface condition of Chuan Nan, eastern Sichuan Basin and the exploitation of North America shale gas basin differ greatly.North America shale gas basin one
As with Plain or hills area, only the basin A Balaqiya is mountain topography close to orogenic belt area, builds highway, traffic fortune
Defeated, probing exploitation and equipment installation are quite convenient to.And the Sichuan Basin and surrounding area are populous, the river developed now
The area such as south, Chuan Dong is mostly hills-hill features, although the fertile area in flakes in arable land is few, it is not easy to find and have a good transport service
And having certain area, flat well site, mountainous region regional geology disaster is multiple, and communications and transportation, equipment installation and probing exploitation are all
It is mostly inconvenient.For U.S.'s shale gas, river south shale gas development block surface condition, in terms of and the U.S.
There are difference in mature shale gas producing region.In actual production development process, how ground well location is effectively selected, on preferential ground
Under the conditions of become one of Sichuan shale gas developing focus using subterranean resource to the greatest extent.
Summary of the invention
The present invention is directed to for defect and deficiency present in the above-mentioned prior art, provide a kind of well location to survey quantification number
It is worth screening and evaluating system, using this method, indoor reconnaissance is inefficient during having filled up current well site deployment, recognizes scene
It is unclear, increase the deficiency for surveying workload on the spot, improves the efficiency of indoor selection well location.
The present invention is realized by using following technical proposals:
A kind of well location surveys quantification numerical value screening and evaluating system, it is characterised in that steps are as follows:
A, digitized processing is carried out to prospecting data, the prospecting data refers to live earth's surface elevation map；
B, rectangular or square piecemeal is carried out to live earth's surface elevation map；
C, the earth's surface landform score of each square is calculated；
D, the prohibitive building score of each square is calculated；
E, the water source road score of each square is calculated；
F, the comprehensive of each square is calculated according to the earth's surface landform score of each square, prohibitive building scoring and water source road score
Point, it is ranked up, assesses each square if appropriate for building well site.
Step c, d and e sequence is adjustable.
In the step a, live earth's surface elevation map includes the map in house, river and road.
In the step b, each piecemeal size is 6 ~ 8 times of well site size.
In the step c, particular by ground mean inclination and height above sea level standard deviation in each piecemeal is calculated, each piecemeal is calculated
The area and length-width ratio of the interior gradient < 5 ° score to parameters according to earth's surface landform Quantitative marking table, calculate each square
Earth's surface landform score.
In the step d, school, hospital and river coordinate in each square are read particular by numerical map, and calculate
Each square and scores with respect to the distance in school, hospital and river, and well spacing can be unable to well spacing for 1 point by meeting national standard
It is 0 point, obtains the prohibitive building score of the square.
In the step e, calculate each square to neighbouring available water source, road distance carry out, and establish equation into
Row Quantitative marking, closer from available water source, road, score is higher, obtains the water source road score of each square.
Compared with prior art, the beneficial effects obtained by the present invention are as follows it is as follows:
One, accuracy is good, using relevant parameter is quantitatively calculated on the basis of map digitizing, avoids artificially observing satellite photo
Bring is uncertain.
Two, can within a preset range in a wide range of Fast Evaluation region all suitable well spacing well point, and it is commented respectively
Divide and avoids artificial observation satellite photo bring.
Three, subsequent ground has been greatly saved by computer processing data and has surveyed workload, improved work limitation.
Four, the preferred well location of quantification numerical value screening and assessment technology is surveyed by well location early period, reduces well location on the spot and surveyed
Recruitment cost and time cost in journey.
Five, the present invention is applied widely, embeddable big absolutely after adjustment parameter preset for different well site area requirements
Part oil field development ground well location chooses process.
Detailed description of the invention
Below in conjunction with specification drawings and specific embodiments, the present invention is described in further detail, in which:
Attached drawing 1 is the stacking chart of Weiyuan localized ground earth's surface elevation map and segmented areas.
Attached drawing 2 is the stacking chart that Weiyuan region includes house, the numerical map in river and road and segmented areas.
Attached drawing 3 be preferably after the region be most suitable for the stacking chart of cloth well area and earth's surface elevation map, segmented areas.
Attached drawing 4 be preferably after the region be most suitable for the stacking chart of cloth well area and numerical map, segmented areas.
Specific embodiment
Embodiment 1
As a better embodiment of the invention, the invention discloses a kind of well locations to survey quantification numerical value screening and assessment side
Method, its step are as follows:
A, digitized processing is carried out to prospecting data, the prospecting data refers to live earth's surface elevation map；
B, rectangular or square piecemeal is carried out to live earth's surface elevation map；
C, the earth's surface landform score of each square is calculated；
D, the prohibitive building score of each square is calculated；
E, the water source road score of each square is calculated；
F, the comprehensive of each square is calculated according to the earth's surface landform score of each square, prohibitive building scoring and water source road score
Point, it is ranked up, assesses each square if appropriate for building well site.
Step c, d and e sequence is adjustable.
Embodiment 2
As preferred forms of the invention, it discloses the specific implementations that well location surveys quantification numerical value screening and assessment technology
Mode comprises the steps of (by taking the region of Weiyuan as an example):
A, digitized processing is carried out to prospecting data, it includes house, river, road that prospecting data, which includes live earth's surface elevation map,
Numerical map；
B, to map carries out rectangle, square piecemeal, and each piecemeal size is 6 ~ 8 times of well site size.Earth's surface elevation map and piecemeal
The stacking chart in region is referring to attached drawing 1, and the stacking chart comprising house, river, the numerical map of road and segmented areas is referring to attached drawing
2；
C, ground mean inclination, height above sea level standard deviation in each piecemeal are calculated, the area and length-width ratio of the gradient < 5 ° in each piecemeal are calculated.
Calculation formula are as follows:
WhereinQuantify score for the table landform of each rectangular block；K is each weighting coefficient；A is square mean inclination, °；B
Flat zone area for the gradient in square less than 5 °, m2；C is flat zone length-width ratio.
D, school in each square, hospital, river coordinate are read by numerical map, and calculates each square with respect to school, doctor
Institute, river distance, and score, meeting national standard can be with well spacing for 1 point, and being unable to well spacing is 0 point, obtains the square
Prohibitive building score.Its calculation method is
Wherein S is that prohibitive building score scores score, and scores are 0 or 1,0 to represent and cannot build well site, and 1 representative can be with
Build well site；For each block center arrive respectively nearest school, hospital, river distance, m；For
Respectively the well site of national regulations to school, hospital, river minimum range, m；
E, calculated by distance of the numerical map to each square to neighbouring available water source, road, and establish equation into
Row Quantitative marking, closer from available water source, road, score is higher, obtains the water source road score of each square；
Wherein E is conventional environment Quantitative marking total score, and score is higher, is more conducive to well site and builds；For respective items weighting
Coefficient；Shortest straight line distance for each block center to urban and suburban roads, m, longer, the well site road construction cost of distance
Higher, E is smaller, more has and is unfavorable for well site construction；For each block center to nearest water intaking position (small towns pipe network,
Reservoir etc.) shortest straight line distance, m, distance is longer, and well site is higher with water construction cost, and E is smaller, more has and is unfavorable for well site and builds
If；
F, the comprehensive of each square is calculated according to the earth's surface landform score of each square, prohibitive building scoring, water source road score
Point, it is ranked up, assesses each square if appropriate for building well site.
WhereinFor the total score of each rectangular block, score is higher, represents more suitable well site surface construction in this square,
Construction cost is lower before boring；For the earth's surface landform quantization modulation scoring in each rectangular block, score is higher, represents herein
Ground is more flat, and height above sea level difference is smaller；For the conventional environment Quantitative marking in each rectangular block, score is higher, represents this
Locate traffic, more convenient with water.For the prohibitive scoring in each rectangular block.In this example, selected optimal well spacing side
Block is square 1, and optimal cloth well area is referring to shown in attached drawing 3, attached drawing 4.
Claims (7)
1. a kind of well location surveys quantification numerical value screening and evaluating system, it is characterised in that steps are as follows:
A, digitized processing is carried out to prospecting data, the prospecting data refers to live earth's surface elevation map；
B, rectangular or square piecemeal is carried out to live earth's surface elevation map；
C, the earth's surface landform score of each square is calculated；
D, the prohibitive building score of each square is calculated；
E, the water source road score of each square is calculated；
F, the comprehensive of each square is calculated according to the earth's surface landform score of each square, prohibitive building scoring and water source road score
Point, it is ranked up, assesses each square if appropriate for building well site.
2. a kind of well location according to claim 1 surveys quantification numerical value screening and evaluating system, it is characterised in that: described
Step c, d and e sequence is adjustable.
3. a kind of well location according to claim 1 surveys quantification numerical value screening and evaluating system, it is characterised in that: the step
In rapid a, live earth's surface elevation map includes the map in house, river and road.
4. a kind of well location according to claim 1 surveys quantification numerical value screening and evaluating system, it is characterised in that: the step
In rapid b, each piecemeal size is 6 ~ 8 times of well site size.
5. a kind of well location according to claim 1 surveys quantification numerical value screening and evaluating system, it is characterised in that: the step
In rapid c, particular by ground mean inclination and height above sea level standard deviation in each piecemeal is calculated, the face of the gradient < 5 ° in each piecemeal is calculated
Long-pending and length-width ratio, scores to parameters according to earth's surface landform Quantitative marking table, calculates the earth's surface landform score of each square.
6. a kind of well location according to claim 1 surveys quantification numerical value screening and evaluating system, it is characterised in that: the step
In rapid d, read school, hospital and river coordinate in each square particular by numerical map, and calculate each square with respect to school,
The distance of hospital and river, and score, meeting national standard can be with well spacing for 1 point, and being unable to well spacing is 0 point, obtains the party
The prohibitive building score of block.
7. a kind of well location according to claim 1 surveys quantification numerical value screening and evaluating system, it is characterised in that: the step
In rapid e, the distance for calculating each square to neighbouring available water source, road is carried out, and is established equation and carried out Quantitative marking, from can
Closer with water source, road, score is higher, obtains the water source road score of each square.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811041282.4A CN109345082A (en) | 2018-09-07 | 2018-09-07 | Well location surveys quantification numerical value screening and evaluating system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201811041282.4A CN109345082A (en) | 2018-09-07 | 2018-09-07 | Well location surveys quantification numerical value screening and evaluating system |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN109345082A true CN109345082A (en) | 2019-02-15 |
Family
ID=65304938
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201811041282.4A Pending CN109345082A (en) | 2018-09-07 | 2018-09-07 | Well location surveys quantification numerical value screening and evaluating system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN109345082A (en) |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111539100A (en) * | 2020-04-17 | 2020-08-14 | 重庆地质矿产研究院 | Generation method, device, equipment and storage medium of well site virtual construction model |
| CN112052488A (en) * | 2019-05-20 | 2020-12-08 | 中国石油天然气集团有限公司 | Method and device for determining well position of land platform |
| CN113420359A (en) * | 2021-07-02 | 2021-09-21 | 国网福建省电力有限公司 | Method for automatically transmitting parameters to well placement based on REVIT (remote visual inspection) electric power engineering general diagram |
| CN113482591A (en) * | 2021-04-25 | 2021-10-08 | 中海油能源发展股份有限公司 | Offshore oilfield block well site combined investigation method |
Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040231109A1 (en) * | 1999-01-08 | 2004-11-25 | Nielsen Kurt R. | Sodium bicarbonate production from nahcolite |
| CN102889083A (en) * | 2012-09-18 | 2013-01-23 | 中国矿业大学(北京) | Method for confirming coal mining sunken surface soil peeling space time based on geographic information system (GIS) grid unit |
| CN103164608A (en) * | 2011-12-15 | 2013-06-19 | 交通运输部科学研究院 | Judgment method of animal traffic hotspots based on habitat factors |
| CN104240153A (en) * | 2014-09-19 | 2014-12-24 | 中国石油天然气股份有限公司 | Site selection assessment method for water-bearing stratum underground gas storage |
| CN107818518A (en) * | 2016-09-14 | 2018-03-20 | 中国石油化工股份有限公司 | A kind of method in quantization signifying oil shale in-situ exploitation constituency |
-
2018
- 2018-09-07 CN CN201811041282.4A patent/CN109345082A/en active Pending
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20040231109A1 (en) * | 1999-01-08 | 2004-11-25 | Nielsen Kurt R. | Sodium bicarbonate production from nahcolite |
| CN103164608A (en) * | 2011-12-15 | 2013-06-19 | 交通运输部科学研究院 | Judgment method of animal traffic hotspots based on habitat factors |
| CN102889083A (en) * | 2012-09-18 | 2013-01-23 | 中国矿业大学(北京) | Method for confirming coal mining sunken surface soil peeling space time based on geographic information system (GIS) grid unit |
| CN104240153A (en) * | 2014-09-19 | 2014-12-24 | 中国石油天然气股份有限公司 | Site selection assessment method for water-bearing stratum underground gas storage |
| CN107818518A (en) * | 2016-09-14 | 2018-03-20 | 中国石油化工股份有限公司 | A kind of method in quantization signifying oil shale in-situ exploitation constituency |
Cited By (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112052488A (en) * | 2019-05-20 | 2020-12-08 | 中国石油天然气集团有限公司 | Method and device for determining well position of land platform |
| CN111539100A (en) * | 2020-04-17 | 2020-08-14 | 重庆地质矿产研究院 | Generation method, device, equipment and storage medium of well site virtual construction model |
| CN113482591A (en) * | 2021-04-25 | 2021-10-08 | 中海油能源发展股份有限公司 | Offshore oilfield block well site combined investigation method |
| CN113420359A (en) * | 2021-07-02 | 2021-09-21 | 国网福建省电力有限公司 | Method for automatically transmitting parameters to well placement based on REVIT (remote visual inspection) electric power engineering general diagram |
| CN113420359B (en) * | 2021-07-02 | 2022-08-05 | 国网福建省电力有限公司 | Method for automatically transmitting parameters to well placement based on REVIT (remote visual inspection) electric power engineering general diagram |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109345082A (en) | Well location surveys quantification numerical value screening and evaluating system | |
| Greve et al. | Generating a Danish raster-based topsoil property map combining choropleth maps and point information | |
| Malik et al. | Remote Sensing and GIS based groundwater potential mapping for sustainable water resource management of Lidder catchment in Kashmir Valley, India | |
| Bouvier et al. | Large-scale GIS-based urban flood modelling: a case study On the City of Ouagadougou | |
| Ejepu | Regional assessment of groundwater potential zone using remote sensing, GIS and multi criteria decision analysis techniques | |
| KR100953219B1 (en) | System for selecting a preliminary suitable area of the picking a place soil and the method therefor | |
| Smith et al. | Locating regions of high probablility for groundwater in the Wadi EI-Arish Basin, Sinai, Egypt | |
| Lačný et al. | Geological control of the origin of dolines in the Plavecký Karst (Malé Karpaty Mts., Slovakia) | |
| Zhao et al. | Comparison of two different methods for determining flow direction in catchment hydrological modeling | |
| Gil et al. | Optimization of the location of observation network points in open-pit mining’s | |
| Ali | Making Different Topographic Maps with the Surfer Software Package | |
| Sobak et al. | Terrestrial laser scanning assessment of generalization errors in conventional topographic surveys | |
| Šamanović et al. | Influence of pit removal algorithms on surface runoff simulation | |
| CN116542371B (en) | Urban waterlogging prediction analysis method | |
| Babati et al. | Simulation of groundwater level in river Mallam Sule catchment area of Potiskum, Yobe State using Swat | |
| Songara et al. | Geospatial Technology-Based Artificial Groundwater Recharge Site Selection for Sustainable Water Resource Management: A Case Study of Rajkot District, Gujarat | |
| Singh et al. | Integration of thematic maps through GIS for identification of groundwater potential zones | |
| Eteje et al. | Determination of the Topography and Draining of the Site for the Benin City Bus Rapid Transit (BRT) Station | |
| Dhun | Application of LiDAR DEMs to the modelling of surface drainage patterns in human modified landscapes. | |
| 백지은 | Development of GIS-based Algorithms for Optimizing Haul Road and Wireless Network Transmitter Layouts in Open-pit Mines | |
| Moftah et al. | Structural Development and Geomorphic Relationship in Wadi Atyaruh, Al Jabal Al Akhdar, NE Libya | |
| Fuls et al. | Geodetic Fundamentals in the Development of a Voxel Model for the Subsoil of the City of Sevilla (Spain) | |
| Ahmed et al. | Groundwater potential zone (GWPZ) mapping using analytical hierarchy process (AHP), remote sensing and GIS for Enugu metropolis, Nigeria | |
| CN116070870A (en) | Shale gas drilling site selection method based on geographic information system and remote sensing data | |
| Epuh et al. | Application of Remote Sensing, GIS and Hydrogeophysics to Groundwater Exploration in parts of Lagos Metropolis: A case study of Oshodi/Isolo LGA |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| RJ01 | Rejection of invention patent application after publication | ||
| RJ01 | Rejection of invention patent application after publication |
Application publication date: 20190215 |