(US10365387) Method for secondary exploration of old oil area in fault subsidence basin 机翻标题: 暂无翻译,请尝试点击翻译按钮。

源语言标题
(US10365387) Method for secondary exploration of old oil area in fault subsidence basin
公开号/公开日
US10365387 US20190212460 / 2019-07-30 2019-07-11
申请号/申请日
US16/242,331 / 2019-01-08
发明人
Zhao Xianzheng Jin Fengming Zhou Lihong Jiang Wenya Pu Xiugang
申请人
DAQING OILFIELD
主分类号
IPC分类号
G01V-001/30
摘要
(US10365387)
The present invention discloses a method for overall exploration of a mature exploration area of oil-rich sags, the method including the following steps: building an area-wide seismic sequence framework for a study area based on uniform 3D seismic data of the study area; determining the spatial distribution characteristics of sedimentary reservoirs in the study area by sequence based on the area-wide seismic sequence framework; grading source rocks in the study area by sequence based on the area-wide seismic sequence framework: counting the spatial distribution characteristics of caprocks in the study area; determining a transporting system for the study area based on the unified 3D seismic data of the study area; classifying potential trap areas in the study area based on the spatial distribution characteristics of the sedimentary reservoirs and the spatial distribution characteristics of the caprocks; and deploying the overall exploration of the study area based on the classification of the potential trap areas, grading of the source rocks and the transporting system of the study area.
机翻摘要
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地址
代理人
(US10365387) Volpe and Koenig, P.C.
代理机构
优先权号
2018CN-0016522
主权利要求
(US20190212460)
What is claimed is:
1. A method for overall exploration of a mature exploration area of oil-rich sags executed by a processor, comprising: 
 building an area-wide seismic sequence framework for a study area based on uniform 3D seismic data of the study area; 
 determining spatial distribution characteristics of sedimentary reservoirs in the study area by sequence based on the area-wide seismic sequence framework; 
 grading source rocks in the study area by sequence based on the area-wide seismic sequence framework; 
 counting the spatial distribution characteristics of caprocks in the study area; 
 determining a transporting system for the study area based on a unified 3D seismic data of the study area; 
 classifying potential trap areas in the study area based on the spatial distribution characteristics of the sedimentary reservoirs and the spatial distribution characteristics of the caprocks; and deploying the overall exploration of the study area based on the classification of the potential trap areas, grading of the source rocks and the transporting system of the study area.
2. The method as claimed in claim 1, wherein the unified 3D seismic data of the study area is obtained through the following steps: 
 determining areas not meeting requirements for coverage folds of 3D seismic data from a structural distribution map of the study area, preset requirements for coverage folds of 3D seismic data of different tectonic positions and a prior plan of coverage folds of 3D seismic data in the study area; 
 acquiring 3D seismic data for the areas not meeting the requirements for coverage folds of 3D seismic data to get current 3D seismic data so that the areas meet the requirements for folds of 3D seismic data; and 
 combining the prior 3D seismic data before the acquisition with the current 3D seismic data of the study area to form the unified 3D seismic data of the study area.
3. The method as claimed in claim 2, wherein the preset requirements for coverage folds of 3D seismic data of different tectonic positions include: the range of coverage folds of 3D seismic data of a high slope is 60-80, the range of coverage folds of 3D seismic data of a medium slope is 80-120, the range of coverage folds of 3D seismic data of a low slope is 160-200, and the range of coverage folds of 3D seismic data of an interior of buried hill is 180-220.
4. The method as claimed in claim 1, wherein building an area-wide seismic sequence framework for the study area based on unified 3D seismic data of the study area comprising: 
 selecting framework wells in the study area, based on the preset conditions for selecting framework wells; 
 connecting framework wells in the effect range of provenances along the trend and dip direction of a basin or depression to form a cross section transverse to the provenance direction and a cross section along the provenance direction; and 
 finding from the unified 3D seismic data, for each framework well in the cross section transverse to the provenance direction and the cross section along the provenance direction, the seismic reflection in-phase axis of three orders of sequence interfaces corresponding to the framework wells using the synthetic seismogram of the framework wells, and performing in-phase axis tracking in a 3D space according to in-phase axis termination relations of onlap, down-lap, top-lap, and truncation in seismic reflection interface to build the area-wide seismic sequence framework.
5. The method as claimed in claim 1, wherein the spatial distribution characteristics of the sedimentary reservoirs include a location distribution of the sedimentary reservoirs and classifications of the sedimentary reservoirs, and determining the spatial distribution characteristics of sedimentary reservoirs in the study area by sequence based on the area-wide seismic sequence framework comprising: 
 determining the location distribution of the sedimentary reservoirs in the study area by sequence from the unified 3D seismic data based on the area-wide seismic sequence framework; and 
 determining classification of each of the sedimentary reservoirs according to porosity and permeability of each of the sedimentary reservoirs.
6. The method as claimed in claim 1, wherein grading source rocks in the study area by sequence based on the area-wide seismic sequence framework comprising: 
 calculating a total organic carbon content (TOC) of the source rocks; and 
 grading the source rocks based on the TOC of the source rocks, wherein the source rocks whose TOC is greater than 2% are determined as good source rocks, the source rocks whose TOC is 1%-2% are determined as medium source rocks and the source rocks whose TOC is 0.5%-1% are determined as poor source rocks.
7. The method as claimed in claim 6, wherein calculating a TOC of the source rocks comprising calculating the TOC of the source rocks using the formula below:
TOC=k×(R−AC)+ΔTOC
 wherein TOC represents the TOC of the source rocks, k represents the organic carbon conversion coefficient, ΔTOC is the background value of TOC of source rocks, AC is interval transit time and R is resistivity.
8. The method as claimed in claim 1, wherein the spatial distribution characteristics of caprocks at least include classifications of the caprocks, and the statistics of the spatial distribution characteristics of the caprocks of the study area comprising: 
 determining classification of each caprock by air permeability, wherein the caprocks whose air permeability is lower than 10−8 μm2 are determined as good caprocks, the caprocks whose air permeability is 10−8-10−7 μm2 are determined as medium caprocks, the caprocks whose air permeability is 10−7-10−6 μm2 are determined as average caprocks, and the caprocks whose air permeability is 10−5-10−3 μm2 are determined as poor caprocks.
9. The method as claimed in claim 8, wherein the spatial distribution characteristics of the caprocks also include caprock thickness, wherein the caprocks whose thickness is greater than the preset thickness are determined as effective caprocks.
10. The method as claimed in claim 1, wherein the transporting system comprises a fault transporting system, an unconformity transporting system and a sandstone transporting system, wherein: 
 the fault transporting system comprises Level I faults and Level II faults, wherein the faults extending between 44 km and 85 km and with the fault throw of 3 km-7 km are level I faults; and the faults extending between 14 km and 30 km and with the fault throw of 150 m-4 km are Level II faults; 
 the unconformity transporting system comprises Level I unconformities, Level II unconformities and Level III unconformities, wherein Level I unconformities are controlled by regional tectonic activities, Level II unconformities are controlled by episodic tectonic activities, and Level III unconformities are controlled by fluctuations of the lake level; and 
 the sandstone transporting system comprises a Level I transporting sand body, a Level II transporting sand body and a Level III transporting sand body, wherein sandstone percentage of the Level I transporting sand body, the Level II transporting sand body and the Level II transporting sand body is greater than 70%, 50%-70% and 30%-50% respectively.
11. The method as claimed in claim 1, wherein deploying the overall exploration of the study area based on the classification of the potential trap areas, the grading of the source rocks, and the transporting system of the study area comprising: 
 selecting potential oil reservoir areas based on an ability of different types of potential trap areas communicating with the source rocks through the transporting system; 
 classifying the potential oil reservoir areas according to grade of the source rocks communicating with the potential oil reservoir areas; and 
 determining a exploration sequence of the study area based on types of the potential oil reservoir areas.
法律状态
GRANTED
专利类型码
B1 A1
国别省市代码
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