This paper presents a unique and formal method of quantifying the similarity or distance between sedimentary facies successions from measured sections in outcrop or drilled wells and demonstrates its first application...This paper presents a unique and formal method of quantifying the similarity or distance between sedimentary facies successions from measured sections in outcrop or drilled wells and demonstrates its first application in inverse stratigraphic modeling. A sedimentary facies succession is represented with a string of symbols, or facies codes in its natural vertical order, in which each symbol brings with it one attribute such as thickness for the facies. These strings are called attributed strings. A similarity measure is defined between the attributed strings based on a syntactic pattern-recognition technique. A dynamic programming algorithm is used to calculate the similarity. Inverse stratigraphic modeling aims to generate quantitative 3D facies models based on forward stratigraphic modeling that honors observed datasets. One of the key techniques in inverse stratigraphic modeling is how to quantify the similarity or distance between simulated and observed sedimentary facies successions at data locations in order for the forward model to condition the simulation results to the observed dataset such as measured sections or drilled wells. This quantification technique comparing sedimentary successions is demonstrated in the form of a cost function based on the defined distance in our inverse stratigraphic modeling implemented with forward modeling optimization.展开更多
This study explores the spatial pattern of Historic Chinese Towns and Cities(HCTC)by using a syntactic approach.The HCTC is an important element of the built environment and exhibits a variety of unique spatial charac...This study explores the spatial pattern of Historic Chinese Towns and Cities(HCTC)by using a syntactic approach.The HCTC is an important element of the built environment and exhibits a variety of unique spatial characteristics.Although previous research has been focused on qualitative analysis,a quantitative approach to exploring this issue is scarce,leading to insufficient understanding of the spatial characteristics of HCTC.This study presents a quantitative approach to analyzing the spatial pattern of HCTC by utilizing the space syntax method.Four well-preserved historic towns were selected as case studies,each representing a typical spatial type of historic town in China.A series of mathematical measures from space syntax were used to explore the spatial characteristics of HCTC,facilitating expanded interpretation of traditional Chinese ideologies.Results contribute to a more critical understanding of the spatial pattern of HCTC.展开更多
基金financially was supported by Colorado School of Minessupported by the Science and Technology Ministry of China (2016ZX05033003)+1 种基金China Academy of Sciences (XDA14010204)Sinopec (G5800-15-ZS-KJB016)
文摘This paper presents a unique and formal method of quantifying the similarity or distance between sedimentary facies successions from measured sections in outcrop or drilled wells and demonstrates its first application in inverse stratigraphic modeling. A sedimentary facies succession is represented with a string of symbols, or facies codes in its natural vertical order, in which each symbol brings with it one attribute such as thickness for the facies. These strings are called attributed strings. A similarity measure is defined between the attributed strings based on a syntactic pattern-recognition technique. A dynamic programming algorithm is used to calculate the similarity. Inverse stratigraphic modeling aims to generate quantitative 3D facies models based on forward stratigraphic modeling that honors observed datasets. One of the key techniques in inverse stratigraphic modeling is how to quantify the similarity or distance between simulated and observed sedimentary facies successions at data locations in order for the forward model to condition the simulation results to the observed dataset such as measured sections or drilled wells. This quantification technique comparing sedimentary successions is demonstrated in the form of a cost function based on the defined distance in our inverse stratigraphic modeling implemented with forward modeling optimization.
文摘This study explores the spatial pattern of Historic Chinese Towns and Cities(HCTC)by using a syntactic approach.The HCTC is an important element of the built environment and exhibits a variety of unique spatial characteristics.Although previous research has been focused on qualitative analysis,a quantitative approach to exploring this issue is scarce,leading to insufficient understanding of the spatial characteristics of HCTC.This study presents a quantitative approach to analyzing the spatial pattern of HCTC by utilizing the space syntax method.Four well-preserved historic towns were selected as case studies,each representing a typical spatial type of historic town in China.A series of mathematical measures from space syntax were used to explore the spatial characteristics of HCTC,facilitating expanded interpretation of traditional Chinese ideologies.Results contribute to a more critical understanding of the spatial pattern of HCTC.
