Search engine for discovering works of Art, research articles, and books related to Art and Culture
ShareThis
Javascript must be enabled to continue!

Classification and well-log identification of lithofacies of continental shale oil reservoirs in Chang 7-3 submember of the Triassic Yanchang Formation in the Longdong area of the Ordos Basin, China

View through CrossRef
Abstract The division and identification of lithology and lithofacies are very important in exploration and development of oil and gas reservoirs. Information on lithofacies determines the development modes and provides the favorable “sweet spot” intervals of shales. The Chang 7-3 submember of the Triassic Yanchang Formation in the Longdong area of the Ordos Basin is an important shale formation in China. Core photos, cast thin sections, and log response characteristics were used to clarify the development and distribution characteristics of the various lithofacies in this formation. The lithofacies of target intervals are classified into fine-grained sandy debrite, silty to fine-grained sandy turbidite, fine-grained sandy slump, semideep to deep lacustrine mudstone, and deep lacustrine shale. Furthermore, the conventional and microresistivity imaging log response characteristics of different lithofacies are analyzed. Compared with other lithofacies, deep lacustrine shale facies are characterized by high gamma ray (GR), high compensated neutron log (CNL), high acoustic log (AC), and low-density (DEN) log values. Crossplots of GR-AC, DEN-CNL, and DEN-AC are proposed to identify most of the lithofacies, and a criterion was established for use of well logs to characterize the lithofacies. Finally, a method joining conventional logs and microresistivity imaging log data was applied to field wells, achieving the very high accuracy rate of 88%. The distribution maps of different lithofacies thickness in the study area are obtained. Deep lacustrine shale facies have the widest development area and many thickness centers. Accurate and effective identification of lithofacies indicates that within the Ordos Basin, there is an area of approximately 20,000 km2 with shale thickness of greater than 6 m, providing an important basis for shale oil exploration in the study area.
Title: Classification and well-log identification of lithofacies of continental shale oil reservoirs in Chang 7-3 submember of the Triassic Yanchang Formation in the Longdong area of the Ordos Basin, China
Description:
Abstract The division and identification of lithology and lithofacies are very important in exploration and development of oil and gas reservoirs.
Information on lithofacies determines the development modes and provides the favorable “sweet spot” intervals of shales.
The Chang 7-3 submember of the Triassic Yanchang Formation in the Longdong area of the Ordos Basin is an important shale formation in China.
Core photos, cast thin sections, and log response characteristics were used to clarify the development and distribution characteristics of the various lithofacies in this formation.
The lithofacies of target intervals are classified into fine-grained sandy debrite, silty to fine-grained sandy turbidite, fine-grained sandy slump, semideep to deep lacustrine mudstone, and deep lacustrine shale.
Furthermore, the conventional and microresistivity imaging log response characteristics of different lithofacies are analyzed.
Compared with other lithofacies, deep lacustrine shale facies are characterized by high gamma ray (GR), high compensated neutron log (CNL), high acoustic log (AC), and low-density (DEN) log values.
Crossplots of GR-AC, DEN-CNL, and DEN-AC are proposed to identify most of the lithofacies, and a criterion was established for use of well logs to characterize the lithofacies.
Finally, a method joining conventional logs and microresistivity imaging log data was applied to field wells, achieving the very high accuracy rate of 88%.
The distribution maps of different lithofacies thickness in the study area are obtained.
Deep lacustrine shale facies have the widest development area and many thickness centers.
Accurate and effective identification of lithofacies indicates that within the Ordos Basin, there is an area of approximately 20,000 km2 with shale thickness of greater than 6 m, providing an important basis for shale oil exploration in the study area.

Related Results

Sedimentary facies and environments of the sedimentary fill of Southern Bida Basin, Nigeria
Sedimentary facies and environments of the sedimentary fill of Southern Bida Basin, Nigeria
Six lithofacies were identified in the Lokoja Formation, Southern Bida Basin: fanglomerate/ conglomerate lithofacies (Gmc), fine to coarse-grained ferruginized weakly cross-bedded,...
Geochemical Characteristics of Crude Oil in Member 7 of Yanchang Formation in Yanchang Oilfield
Geochemical Characteristics of Crude Oil in Member 7 of Yanchang Formation in Yanchang Oilfield
Oil is an important primary energy for national production and life and national defense, and China is the key to rapid development. It is of great strategic significance to ensure...
An Emerging CO2 Storage Option: CO2 Storage and By-Product Oil Recovery from Shale Oil Formations
An Emerging CO2 Storage Option: CO2 Storage and By-Product Oil Recovery from Shale Oil Formations
Recent studies, sponsored by the United States Energy Association (USEA) and prepared by Advanced Resources International, have identified an emerging CO2 storage option – injectin...
Integrated Carbonate Lithofacies Modeling Based on the Deep Learning and Seismic Inversion and its Application
Integrated Carbonate Lithofacies Modeling Based on the Deep Learning and Seismic Inversion and its Application
Abstract To improve the accuracy of carbonate lithofacies modeling, mainly well data such as core, thin section and well logging data had been adopted in conventiona...
GEOLOGICAL CHARACTERISTICS AND SOME PROBLEMS IN DEVELOPMENT FOR OIL SHALE IN NORTHWEST CHINA ; pp. 380–397
GEOLOGICAL CHARACTERISTICS AND SOME PROBLEMS IN DEVELOPMENT FOR OIL SHALE IN NORTHWEST CHINA ; pp. 380–397
With the amount of oil resources becoming increasingly scarce, non-conven­tional resources such as oil shale, oil sands, and heavy oil, have caught our atten­tion. There are abun...
A New Supervised AI Logging Lithofacies Identification Technique and its Application in K Oilfield in the Middle East
A New Supervised AI Logging Lithofacies Identification Technique and its Application in K Oilfield in the Middle East
Abstract Lithology identification is a very important task in reservoir characterization. Through the identification of lithofacies, we can know the state and distri...

Back to Top